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NCPT Implementation Guide

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What is NCP and NCPT?

Effective nutrition and dietetics care delivery hinges on a structured approach that ensures consistency, quality, and personalized care. This chapter introduces the Nutrition Care Process (NCP) Model and its associated Nutrition Care Process Terminology (NCPT) , a pivotal framework and standardized language designed to help professionals deliver tailored nutrition and dietetics care. The NCP Model and NCPT have been developed and continually refined over years through global collaboration, led by the Academy of Nutrition and Dietetics (referred to as the Academy thereafter), with input from numerous nutrition and dietetic associations around the world.

Additionally, the chapter will introduce the SNOMED CT NCPT Reference Set (or refset) , which further enhances the ability of healthcare professionals to standardize and integrate nutrition and dietetics care into broader clinical systems, supporting interoperability and comprehensive patient care across settings.

The SNOMED CT NCPT Reference Set (release of April 2026) contains the "problems" or nutrition diagnoses, "intervention" terms, and nutrition assessment, monitoring and evaluation terms of NCPT (edition 2020). It is important to emphasize that SNOMED CT is used by many countries where English is not the main language. The Nutrition and Dietetics CRG which has a wide international membership encourages the translation of the SNOMED CT NCPT refset and welcomes updates on translation efforts. Sweden already has a SNOMED CT NCPT refset release containing the diagnostic terms in the Swedish language since November 2024. For more on the translation process of refsets, please see section of this guide.

The Nutrition Care Process Model (NCPM) serves as a framework for nutrition and dietetics professionals engaged in providing nutrition and dietetics care. The NCP Model offers a systematic, evidence-based approach to assessing, diagnosing, planning, implementing, and evaluating nutrition and dietetics care.

Structured around four sequential steps, the NCP Model guides nutrition and dietetics professionals through the process of delivering comprehensive nutrition and dietetics care:

  1. Nutrition Assessment and Reassessment : This initial step involves gathering pertinent information about the patient’s nutritional status, dietary habits, health history, social determinants of health (SDOH) and lifestyle factors. Regular reassessment ensures that care plans remain current and responsive to evolving needs. Reassessment is a future assessment that occurs during a follow up interaction with a patient. The reassessment builds on what the assessment raised as initial findings and also may identify new findings that must be addressed as part of continued care.

  2. Nutrition Diagnosis : Building upon the assessment findings, nutrition and dietetics professionals identify alterations in the nutritional status of the patient through naming nutrition-related problems and establishing clear, actionable objectives.* Nutrition diagnoses serve as the foundation for developing targeted interventions aimed at resolving the cause (or etiology) and/or contributing factors of the problems and meeting specific nutrition needs and goals.

Through its structured approach, the NCP Model enhances consistency, quality, and description of nutrition/dietetics care and related health outcomes. While care delivery remains individualized to meet the unique needs of those being served, the NCP Model provides a standardized framework for guiding professionals through the delivery process. The structured framework facilitates data aggregation for patient populations and subsequent data analytics, outcomes management and opportunities to research and improve the NCP Model itself.

The entryway to the NCP is via nutrition screening or referral of client or patient. The purpose of the screening and referral system is to identify and refer those who have or are at risk for nutrition problems, and who are appropriate to receive nutrition and dietetics care services as described by the NCP. The nutrition screening process utilizes valid, and reliable screening tools to identify and document nutrition risk. The screening and referral system improves interdisciplinary collaboration among healthcare professionals.

The output of the NCP Model is emphasizing the importance of studying the NCP itself, aggregating data to conduct research and quality improvement initiatives, and calculating/reporting quality indicators like (Electronic Clinical Quality Measures that are currently utilized as far as we know in the United States by the Centers for Medicare and Medicaid Services).

External and professional factors are depicted in the two outer rings to reflect practice settings, health care systems, social systems, and economic environment. The middle ring includes variables that influence quality of practice and include: dietetics knowledge, skills and competencies, critical thinking, collaboration, communication and documentation, evidence-based practice, and code of ethics. The center circle (core) features the patient/population that interacts with the nutrition and dietetics professional and as such the core of the NCPM symbolizes people-centered nutrition care delivery.

*This is an updated definition because V2 standards cite alteration in nutrition status and point to LOINC 75305-3 Nutritional status with synonym nutrition diagnosis.


The NCPT includes a set of terms for each step of the NCP. Nutrition Assessment terms describe observed and measured data that provide evidence about nutrition-related problems or diagnoses. Nutrition Diagnosis terms describe the nutrition problem that nutrition and dietetics professionals are responsible for treating and/or managing. Intervention terms describe planned actions aimed toward resolving nutrition problems and the cause (or etiology) of these problems. The Nutrition Assessment and Monitoring and Evaluation steps share, for the most part, the same terminology. Specifically, Nutrition Assessment terms that describe Client History are not included in the Monitoring and Evaluation terminology because nutrition interventions cannot change a client's history. When terms are used in the Monitoring and Evaluation step, they are used to describe outcomes or expected outcomes relevant to the Nutrition Diagnosis. NCP Terms for each step are organized by Domains. Domains are further organized into Classes and Subclasses. For example, the term Energy Intake falls under the Domain: Food/Nutrition-related History. (Detailed information on the current hierarchical organization of NCPT and term definitions can be found at (log in required).

By employing standardized terminology and coding conventions outlined in NCPT, nutrition and dietetics professionals can ensure consistency, accuracy, and interoperability (automated data exchange) in documenting nutrition and dietetics care data across different electronic health record (EHR) systems. This standardized approach supports improved data quality, enhances communication between healthcare providers, and enables meaningful analysis and research on nutrition and dietetics care outcomes and health outcomes.

The development and adoption of the Nutrition Care Process Terminology (NCPT) have been the result of extensive international collaboration and usage, reflecting a global consensus on the need for standardized documentation and communication of nutrition and dietetics care data.

While vendors may initially question the investment required to integrate NCPT into electronic health record (EHR) systems, understanding its widespread acceptance and the benefits it offers, can illuminate its value.

Nutrition and dietetics professionals stand to benefit significantly from utilizing NCPT, regardless of whether they are already using SNOMED CT or not, as it provides a standardized language for documenting nutrition and dietetics care data. The integration of NCPT with SNOMED CT further enhances its utility, facilitating seamless interoperability and enabling clinicians to leverage the SNOMED CT NCPT refset within the EHR. Even if clinicians are already using SNOMED CT, the NCPT refset offers additional value by providing a curated set of concepts specifically tailored to document nutrition and dietetics care within the Nutrition Care Process, streamlining documentation and ensuring consistency across practices.

This integration not only enhances the quality and efficiency of nutrition and dietetics care delivery but also supports informed clinical decision-making and research efforts aimed at improving patient outcomes.

For systems who use NCPT as an interface terminology and pursue to enable SNOMED CT, the Academy of Nutrition and Dietetics maintains mappings from NCPT to SNOMED CT ( , institutional level log in required).

In summary, the NCP Model and NCPT represent foundational tools for guiding nutrition and dietetics professionals in delivering evidence-based, personalized nutrition and dietetics care including but not limited to medical nutrition therapy. By adopting tools like these, healthcare organizations can enhance the quality, consistency, and effectiveness of nutrition and dietetics care delivery, ultimately promoting better health outcomes for individuals and communities alike. Wide adoption also facilitates communication, data exchange and aggregation among health delivery systems, making the accumulation of big data and advanced analyses possible.

Nutrition Intervention : With diagnoses in hand, nutrition and dietetics professionals collaborate with individual patientsand/or groups of people to develop and implement evidence-based nutrition interventions. These plans of care include nutrition prescription. They may also include a) customized approaches for food/nutrient provision such as dietary modifications, oral nutrition supplementation, and enteral or parenteral nutrition, b) nutrition education, c) nutrition counseling (frequently aiming to achieve behavior change among other objectives), and d) support services (such as coordination of nutrition and dietetics care) tailored to promote optimal health outcomes.
  • Nutrition Monitoring and Evaluation : Ongoing monitoring and evaluation are integral to assessing the effectiveness of nutrition interventions and adjusting care plans as needed. By tracking progress and outcomes over time, nutrition and dietetics professionals can ensure that individual patients and/or groups of people receive ongoing support and achieve their nutrition-related goals.

  • 1. Swan WI, Vivanti A, Hakel-Smith NA, Hotson B, Orrevall Y, Trostler N, Beck Howarter K, Papoutsakis C. Nutrition Care Process and Model Update: Toward Realizing People-Centered Care and Outcomes Management. J Acad Nutr Diet. 2017 Dec;117:2003-14.
    2. Swan WI, Pertel DG, Hotson B, Lloyd L, Orrevall Y, Trostler N, Vivanti A, Howarter KB, Papoutsakis C. Nutrition Care Process (NCP) Update Part 2: Developing and Using the NCP Terminology to Demonstrate Efficacy of Nutrition Care and Related Outcomes. J Acad Nutr Diet. 2019 May;119:840-55.
    3. Lövestam E, Steiber A, Vivanti A, Boström AM, Devine A, Haughey O, Kiss CM, Lang NR, Lieffers J, et al. Use of the Nutrition Care Process and Nutrition Care Process Terminology in an International Cohort Reported by an Online Survey Tool. J Acad Nutr Diet. 2019 Feb;119:225-41.
    4. Lövestam E, Vivanti A, Steiber A, Boström AM, Devine A, Haughey O, Kiss CM, Lang NR, Lieffers J, et al. The International Nutrition Care Process and Terminology Implementation Survey: Towards a Global Evaluation Tool to Assess Individual Practitioner Implementation in Multiple Countries and Languages. J Acad Nutr Diet. 2019 Feb;119:242-60.
    5. Kight CE, Bouche JM, Curry A, Frankenfield D, Good K, Guenter P, Murphy B, Papoutsakis C, Brown Richards E, et al. Consensus Recommendations for Optimizing Electronic Health Records for Nutrition Care. Nutr Clin Pract. 2020 Feb;35:12-23.
    6. Lloyd L, Swan WI, Jent S, Vivanti A, Pertel DG. Worldwide Release of SNOMED CT Nutrition Care Process Terminology Problem List. J Acad Nutr Diet. 2024 Apr;124:531-4.
    7. Maduri C, Hsueh PYS, Li Z, Chen CH, Papoutsakis C. Applying contemporary machine learning approaches to nutrition care real-world evidence: findings from the National Quality Improvement Data Set. J Acad Nutr Diet. 2021;121(12): 2549-2559.e1. doi: 10.1016/j.jand.2021.02.003

    Nutrition Care Process Model (NCPM)

    Nutrition Care Process Terminology (NCPT)

    NCPT and SNOMED CT

    References

    Translating Reference Set Members
    eCQMs
    www.ncpro.org
    www.ncpro.org
    Provide Feedback
    Reprinted from J Acad Nutr Diet. 2017 Dec, Swan WI, Vivanti A, Hakel-Smith NA, Hotson B, Orrevall Y, Trostler N, Beck Howarter K, Papoutsakis C., Nutrition Care Process and Model Update: Toward Realizing People-Centered Care and Outcomes Management, Pages 2003-14, Copyright 2017, with permission from Elsevier.

    Introduction

    Background

    Most nutrition and dietetics professionals work in settings where they treat people (either clients or patients or groups) through medical nutrition therapy (MNT) to manage or prevent nutrition-related disease.

    The Nutrition Care Process (NCP) is a concise framework model for professionals, such as dietitians, who provide nutrition and dietetics care. The NCP embraces people-centered care and has been evolving since 2003 to become the international standard for nutrition and dietetics care delivery. The NCP encourages the use of standardized terminology. Standardized terminology is necessary for data to follow the patient or client across settings when different electronic health records (EHR) systems are involved (e.g. all data from an acute care unit is transmitted as documented to a community care setting).

    The documentation and exchange of coded nutrition and dietetics care data vary across EHRs due to a lack of standardized terminology and inconsistent implementation practices, making interoperability and continuity of care challenging.

    The lack of interoperability limits the aggregation of nutrition and dietetics care data for informed clinical decision support. It also hinders the ability to research the effectiveness of nutrition and dietetics care and resulting health outcomes. The documentation of nutrition and dietetics care data must be clearly defined in EHRs to support patient health, safety and a comprehensive health record.

    Entry points to the NCP (i.e. initiation of nutrition and dietetics care by a nutrition and dietetics professional) are typically screening and/or referral systems. The NCP framework (or NCP) for nutrition and dietetics care was designed and approved by the Academy of Nutrition and Dietetics in 2003. Since then, the Academy of Nutrition and Dietetics has collaborated with many international nutrition and dietetics associations to revise, evolve and adopt the NCP in its current form. Also, alternate iterations of the NCP have since been used and exist. From an international perspective, this demonstrates and solidifies the usability and adaptability of the NCP going into the future.

    In the NCP, there are four steps:

    • Nutrition Assessment and Reassessment

    • Nutrition Diagnosis

    • Nutrition Intervention

    • Nutrition Monitoring and Evaluation

    Nutrition and dietetics professionals frequently use the Nutrition Care Process Terminology (NCPT) to communicate the Nutrition Care Process. The NCPT is a standardized terminology that complements the NCP, communicates the functions of nutrition and dietetics professionals, and facilitates research on the outcomes of nutrition and dietetics care.

    In its majority, the NCPT (edition 2020) has been integrated into SNOMED CT as a result of many international nutrition and dietetics organizations working collaboratively with the Academy of Nutrition and Dietetics and SNOMED International. The first iteration of SNOMED CT's NCPT reference set (also called refset*) (released in April 2024) contained the concepts that document Nutrition Diagnosis in the NCP (166 concepts), (). The second SNOMED CT NCPT Reference Set (released in April 2025) contained updated nutrition problems and the addition of nutrition intervention terms mapped to SNOMED CT, (2025 ). This third and current update completes the currently planned content inclusion to the reference set. The April 2026 version of the reference set contains a total of 1115 concepts, see the . Going forward, the reference set will be maintained on an annual basis.

    In a healthcare environment that evolves rapidly, the vision for the NCP and NCPT is to make possible communication within and across healthcare systems for quality care and outcomes research. Implementation strategies should include the development of resources like the present implementation guide, education and training, leadership support, and change-management approaches.

    Standards Development Organizations (SDOs), like Health Level Seven International (HL7), in collaboration with the Academy of Nutrition and Dietetics have developed standards and provided guidance to assist implementers, however specific guidance in using and implementing SNOMED CT in the context of nutrition and dietetics care is limited. The present implementation guide fills this gap.

    The objective of the SNOMED CT implementation guide for Nutrition Care Process Terminology (NCPT) is to support standardized practices and terminology for documenting nutrition and dietetics care data within Electronic Health Records (EHRs), specifically describing the four steps of the Nutrition Care Process (NCP) Model:

    • Nutrition Assessment and Reassessment

    • Nutrition Diagnosis

    • Nutrition Intervention

    • Nutrition Monitoring and Evaluation

    This guide aims to improve consistency, and quality of nutrition and dietetics care data documentation and exchange across electronic systems (interoperability), facilitating informed clinical decision support, research on the efficacy of nutrition and dietetics care, and enhancing patient health, safety, and comprehensive health record management.

    The guide operationalizes the utilization of the SNOMED CT NCPT (Nutrition Care Process Terminology) reference set to enhance the quality of documentation and care in this vital domain.

    SNOMED International has created a draft demonstration tool to showcase the principles and techniques elucidated in the guide. Please access this here:

    The scope of the work presented in this guide includes:

    1. Review standards on nutrition and dietetics care

    2. Analyze relevant information models

      1. Review existing information models that are in scope, with emphasis on HL7® Fast Healthcare Interoperability Resources (FHIR®) that have gained wide adoption in recent years

    *The word "refset" is a combination of the two words "reference set". Reference sets are essentially published subsets of the full SNOMED CT. The International Release of SNOMED CT contains over 370,000 concepts. It is understandable that not all users need to use all of these. A practical way to easily identify and use concepts by practice area is by establishing refsets that can be used by related healthcare professionals. This reference set mechanism provides a standardized approach to refer to a subset of SNOMED CT. Here, the NCPT SNOMED refset can be very useful to nutrition and dietetics professionals who provide nutrition and dietetics care. For more on refsets see:

    **The words "value set" means a group of valid concepts or expressions intended to constrain the permissible content for a particular use (e.g. a value set for malnutrition will be a defined list of concepts used to document the different types of malnutrition). For more information see: from the US.

    SNOMED CT is a comprehensive, multilingual clinical terminology that can be used to standardize and improve the quality of data related to nutrition and dietetics care. This guide is targeted at the various stakeholders involved with the implementation of SNOMED CT:

    • who are seeking uniform, clear best practices for documenting nutrition and dietetics care, and understanding how SNOMED CT can be applied in this domain.

    • Clinicians and other healthcare professionals (such as hospital administrators and managers) who are interested in understanding how SNOMED CT can support the clinical needs for data collection and acquisition within the field of nutrition and dietetics; and how SNOMED CT can facilitate communication within a collaborative team where the client is included.

    • Quality measure developers and those implementing quality initiatives who are reporting nutrition and dietetics care data and/or examining the impact of nutrition and dietetics interventions on healthcare outcomes.

    This SNOMED CT Implementation guide and the underlying work have been developed by the . The Clinical Reference Group (CRG) is composed of experts in the field of nutrition and dietetics providing input from the community of practice on the development, maintenance, and use of SNOMED CT in this specific domain. The CRG members have been instrumental in the development of this guide, providing their expertise, knowledge, and experience to ensure that it is accurate, up-to-date, and relevant to the needs of its intended audience. Their dedication and hard work have made this guide possible and SNOMED International is grateful for their contributions. This guide is a product of SNOMED International's ongoing commitment to improving healthcare through the use of high-quality, standardized clinical terminologies.

    Main Contributors

    Acknowledgement to the Academy of Nutrition and Dietetics ()

    Individuals:

    • Dr. Constantina Papoutsakis, Chair, Nutrition and Dietetics Clinical Reference Group, Academy of Nutrition and Dietetics

    • William Swan, Past Chair, Nutrition Care Process Research Outcomes Committee, Academy of Nutrition and Dietetics, USA

    • Dr. Angela Vivanti, Past Chair, Nutrition Care Process Research Outcomes Committee, Academy of Nutrition and Dietetics, Princess Alexandra Hospital, Australia

    This SNOMED CT Implementation Guide is designed to provide guidance for the use of SNOMED CT within the domain of nutrition and dietetics care. The guide is organized into the following main chapters:

    • Introduction - This chapter provides a background on the guide, including the objectives, scope, and target audience.

    • What is NCP and NCPT? - This chapter provides basic information on the Nutrition Care Process (NCP) Model (NCPM-the graphic depiction of the NCP) and NCP Terminology (NCPT).

    • Clinical Use Cases - This chapter describes the key use cases that have motivated the creation of this guide and explains scenarios where implementation of SNOMED CT within this domain is needed.

    In addition, a number of appendices present additional information and insights into the terms used in this document, and references to relevant resources.

    This SNOMED CT Implementation guide represents the culmination of work started by the Implementation SIG (SIG means Special Interest Group) in 2014 and continued by the starting in 2023.

    We welcome feedback from readers on the guide and encourage them to share their insights and experiences with us. Your comments and suggestions will help us improve the content of the guide and ensure that it is relevant and useful to those who use it. We will review any feedback received and make updates to the guide as needed.

    We appreciate your interest in this guide and thank you for your contributions to the improvement of healthcare through the use of high-quality, standardized clinical terminologies like SNOMED CT. Please raise any comments to this document via the feedback button (At the bottom of the page).

    REFERENCES

    Lloyd L, Swan WI, Jent S, Vivanti A, Pertel DG. Worldwide Release of SNOMED CT Nutrition Care Process Terminology Problem List. J Acad Nutr Diet. 2024 Apr;124(4):531-534.

    Swan WI, Vivanti A, Hakel-Smith NA, Hotson B, Orrevall Y, Trostler N, Beck Howarter K, Papoutsakis C. Nutrition Care Process and Model Update: Toward Realizing People-Centered Care and Outcomes Management. J Acad Nutr Diet. 2017 Dec;117:2003-14.

    Swan WI, Pertel DG, Hotson B, Lloyd L, Orrevall Y, Trostler N, Vivanti A, Howarter KB, Papoutsakis C. Nutrition Care Process (NCP) Update Part 2: Developing and Using the NCP Terminology to Demonstrate Efficacy of Nutrition Care and Related Outcomes. J Acad Nutr Diet. 2019 May;119:840-55.

    Provide typical use cases
    1. Describe common and important scenarios for capturing or exchanging nutrition and dietetics care data

    2. Illustrate how the information can be represented by using FHIR® and SNOMED CT concepts

  • Explain how nutrition and dietetics related concepts are represented in SNOMED CT

  • Support use of the SNOMED CT NCPT refset* and explain how it facilitates implementation of SNOMED CT

    1. Identify *SNOMED CT NCPT refset concepts used to define nutrition and dietetics care

    2. Identify existing value sets** for specific applications and standards e.g., malnutrition assessment

  • Provide practical guidance on the use of SNOMED CT in nutrition and dietetics care as it pertains to the implementation of the following:

    1. Problem list (this edition)

    2. Intervention list (this edition)

    3. Assessment, Monitoring and Evaluation list (this edition)

    4. Clinical decision support (future edition)

  • Information managers who are looking to learn how SNOMED CT can be integrated into health information models within the domain of nutrition and dietetics care to support the implementation of SNOMED CT and enhance data interoperability.

  • Software developers who want to learn how to integrate SNOMED CT into software applications used in the domain of nutrition and dietetics care.

  • Dr. Ylva Orrevall, The Swedish Association of Registered Dietitians' working group for Informatics and Ethical code, and Women’s Health and Allied Health Professionals Theme, Karolinska University Hospital, Stockholm, Sweden
  • Lindsay Woodcock, formerly with the Academy of Nutrition and Dietetics

  • Donna Pertel, SNOMED Author, formerly with the Academy of Nutrition and Dietetics

  • Rebecca Niitzel, Academy of Nutrition and Dietetics

  • Michelle Ashafa, Academy of Nutrition and Dietetics

  • Elaine Wooler , SNOMED International

  • Ian Green , SNOMED International

  • Anne Randorff Højen , SNOMED International

  • Alejandro Lopez Osornio , SNOMED International

  • SNOMED CT Content - This chapter describes how SNOMED CT addresses the terminological needs within the domain of nutrition and dietetics. It also elaborates on the major types of related concepts and relative templates that exist in SNOMED CT.

  • Information Model and Terminology Binding - This chapter introduces a generic logical model for nutrition and dietetics care records, and general terminology bindings, so that healthcare organizations can ensure data are recorded with precision and utilized effectively.

  • Technical Application - This chapter presents technical considerations related to the SNOMED implementation of NCPT including accessing, deploying, and using the SNOMED CT NCPT reference set.

  • Objective

    Scope

    Audience

    Attribution

    Guide Overview

    Review

    related press release
    Release notes
    2026 Release notes
    NCPT Demonstrator
    Reference set tools
    value sets
    SNOMED International Members
    Nutrition and Dietetics Clinical Reference Group
    https://www.eatright.org/
    Nutrition and Dietetics Clinical Reference Group
    Provide Feedback

    SNOMED CT Implementation Guide for the Nutrition Care Process Terminology

    The SNOMED CT Implementation Guide for Nutrition Care Process Terminology (NCPT) provides practical guidance for documenting nutrition and dietetics care using standardized SNOMED CT concepts. Aligned with the internationally recognized Nutrition Care Process (NCP), this guide supports consistent, interoperable data capture across electronic health systems to improve care quality, enable clinical decision support, and facilitate outcomes research.



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    Introduction
    What is NCP and NCPT?
    Clinical Use Case
    Content Development Principles
    Information Models & Terminology Binding
    Technical Application

    SNOMED CT Content

    History

    To facilitate the development of nutrition-related content in SNOMED CT, the NCPT Clinical Project Group was established, bringing together nutrition and dietetics professionals across several continents. This group played a pivotal role in reviewing, validating, and authoring content directly into the SNOMED CT International Release with support from SNOMED International authors. The work of the project group, which took place between 2017 and 2023, concluded with the integration of NCPT (Nutrition Care Process Terminology, Edition 2020) into SNOMED CT.

    The responsibility for maintaining nutrition and dietetics content within SNOMED CT has since, transitioned to the Nutrition and Dietetics Clinical Resource Group (CRG). This group is now tasked with overseeing the management of nutrition-related concepts, maintaining the SNOMED CT NCPT reference set, and leading quality improvement projects in collaboration with SNOMED International. The Academy of Nutrition and Dietetics continues to provide stewardship through dedicating staff support.

    Benefits of SNOMED CT

    When clinical concepts are modeled using a set of rules (these rules are explained in the SNOMED CT Editorial Guide), this allows for consistent representation of clinical information in electronic health records (EHRs). Thus, good modeling enhances the quality of the data. Also, modeling of concepts offers the necessary infrastructure to carry out data analytics, collapse, or parse different sets of data. This means that data can be analyzed with different levels of granularity, across different settings, and reused by many for different objectives. (for more information on data analysis with SNOMED CT, please refer to: Data Analytics with SNOMED CT and Data Analytics Tooling)

    Key Benefits of High-Quality Clinical Concept Modeling

    High-quality modeling of clinical concepts is crucial for ensuring data quality and maximizing the utility of health information. Effective modeling supports the automation of processes and the generation of knowledge at various levels, from individual healthcare services to institutional, regional, national, and international systems.

    • Population Analytics : With SNOMED CT, healthcare organizations can analyze population data to identify patterns and trends across patient groups. This enables the detection of shifts in the prevalence of clinical issues (such as nutrition-related problems), procedures, and interventions over time, helping to inform public health initiatives, resource allocation, and policy development.

    • Clinical Decision Support Systems : SNOMED CT serves as a foundation for clinical decision support, enabling systems to provide timely, evidence-based recommendations. By standardizing data, it also facilitates accurate laboratory reporting and registry tracking and reporting, improving the precision and consistency of clinical decision-making and documentation.

    By modeling clinical concepts with precision, SNOMED CT not only enhances data quality but also empowers healthcare systems to harness data for deeper insights, improved decision-making, and more equitable, coordinated care globally.

    This chapter provides a comprehensive overview of SNOMED CT content specific to the Nutrition Care Process Terminology (NCPT). The objective of the following sections is to explain how SNOMED CT concepts relevant to the Nutrition Care Process (NCP) are modeled within the SNOMED CT framework.

    It is important to note that there is no single, unified hierarchy dedicated solely to “nutrition content” within SNOMED CT. Instead, relevant content is distributed across various sub-hierarchies according to broader domains, such as Procedures , Clinical Findings , and others. This division ensures that nutrition-related concepts are aligned with the overarching structure of SNOMED CT while remaining accessible within the appropriate contexts.

    To aid understanding and interpretation, each page of this chapter will introduce relevant content, along with explanations of its modeling approach, attributes, and examples. This layout is designed to help readers navigate and utilize SNOMED CT content for NCPT effectively, with practical examples that demonstrate the structure and utility of each concept within clinical documentation and workflows.

    Removing Language Barriers
    : SNOMED CT supports multilingual use, allowing healthcare data to be shared and understood across language divides. This is especially valuable in diverse or multilingual regions, as it enables healthcare providers to communicate consistently and accurately regardless of language.

    SNOMED CT Content for NCPT

    Nutrition Assessment and Reassessment
    Nutrition Diagnosis
    Nutrition Interventions
    Nutrition Monitoring and Evaluation
    Provide Feedback

    Logical Model

    HL7 Domain Analysis Model for Nutrition Care

    The HL7 Domain Analysis Model: Nutrition Care, Release 3 Standard (December 2022-2024) outlines a comprehensive framework for implementing and standardizing nutrition care processes in healthcare environments. Developed by Health Level Seven International (HL7) in collaboration with the Academy of Nutrition and Dietetics, this document focuses on enhancing the integration and interoperability of nutrition-related data within Electronic Health Records (EHRs) and other health information systems.

    The model builds on the Nutrition Care Process (NCP), which standardizes the steps of Nutrition Assessment, Diagnosis, Intervention, and Monitoring/Evaluation to ensure consistent and high-quality nutrition care. This framework emphasizes patient-centered care, quality improvement, and the effective communication of nutrition orders and assessments across multidisciplinary healthcare teams.

    The HL7 Domain Analysis Model elaborates on the specific workflows and data elements necessary for effective documentation, providing practical use cases such as diet ordering, food allergy management, and tailored nutrition interventions.

    Logical Model for Nutrition Care Records

    This page adapts the HL7 Domain Analysis Model (DAM) for Nutrition Care, and provides a Logical Model for the Nutrition Care Process (NCP), which serves as a technology-agnostic common reference , designed to be adaptable to specific implementation requirements while highlighting where terminology bindings to SNOMED CT can be applied. By outlining essential entities, such as Patient , Practitioner/Dietitian , Assessment , Diagnosis , Intervention , and Monitoring/Evaluation , and their relationships, this model aims to support consistent and organized documentation across the entire care process, provided it is implemented correctly.

    The Nutrition Care Records Model outlines a comprehensive framework for managing nutrition care, highlighting key entities' roles and interactions to support patient-centered outcomes.

    • Patient is the central entity, representing the individual who receives nutrition care. The patient is linked to various elements of the care process, including nutrition assessments, diet orders, and monitoring and evaluation activities.

    • Dietitian plays a pivotal role throughout the care process. Dietitians perform nutrition assessments, establish nutrition diagnoses, implement appropriate interventions, develop care plans, and monitor the patient’s progress. They ensure that the nutrition care provided aligns with evidence-based practices and patient-specific needs.

      • The DAM utilizes the term “Practitioner” per HL7. This aligns with and helps to also be more inclusive of the NDTR (Nutrition Dietetic Technician, Registered) role in the United States.

    The provided ER (Entity-Relationship) diagram for Nutrition Care Records illustrates the relationships between key entities involved in nutrition care and how they interact at the data storage level. It is important to note that this diagram does not represent a clinical workflow. Instead, it demonstrates how data collected during a clinical workflow can be structured and associated within a database. This model has been developed as part of this guide to highlight the key entities relevant to nutrition care and to indicate where the SNOMED CT NCPT reference set can be utilized.

    Terminology Bindings for Nutrition Diagnosis

    Nutrition Diagnosis Value Sets

    These following bindings ensure that the FHIR resources effectively capture nutrition diagnosis information using standardized SNOMED CT terminology, promoting interoperability and accurate data exchange across healthcare systems.

    FHIR element
    General SNOMED CT value set
    Nutrition-specific SNOMED CT value set
    Corresponding ECL
    Number of concepts

    The following value sets can be used as alternative bindings to represent nutrition diagnosis data. The “Nutrition Diagnosis Grouping” value set, stewarded by the Academy of Nutrition and Dietetics and available via the Value Set Authority Center (VSAC) at the National Library of Medicine (NLM), contains 167 concepts and can be accessed . Another value set, the “Nutrition Focused Physical Findings Grouping,” also stewarded by the Academy of Nutrition and Dietetics, includes 372 concepts and is accessible . These value sets enable precise and standardized documentation of nutrition-related diagnoses and physical findings.

    Source
    Name of value set
    Reference
    Steward
    Number of concepts

  • Nutrition Assessment involves collecting and analyzing data, such as anthropometric measurements, food and nutrient intake, lab results, and physical findings. This assessment informs the Nutrition Diagnosis , where dietitians identify nutrition-related problems. Each assessment may lead to one or more diagnoses, guiding the interventions needed.

  • Nutrition Diagnosis identifies specific nutrition issues, using information gathered from the assessment. Each diagnosis may require multiple Nutrition Interventions , which are specific actions taken to address the identified problems, such as dietary adjustments, nutritional counseling, or supplementation.

  • Nutrition Intervention represents the implementation of strategies designed to improve the patient’s nutritional status. These interventions are included in a broader Care Plan , which outlines the goals, strategies, and timeline for the patient’s nutrition care.

  • Care Plan is a comprehensive blueprint for managing the patient’s nutrition. It specifies measurable Goals that outline desired outcomes, such as weight management or improved nutrient intake. The care plan also details Diet Orders , which provide instructions on the types and modifications of diets to be provided to the patient.

  • Diet Order outlines specific dietary requirements for the patient, such as a low-sodium or high-protein diet, based on the nutrition interventions outlined in the care plan. These diet orders ensure that nutrition therapy is tailored to the patient’s needs.

  • Monitoring & Evaluation tracks the effectiveness of the care plan by assessing whether the set goals are being met. The dietitian monitors the patient’s progress, using metrics and outcomes to adjust the care plan as needed. This ongoing evaluation ensures that nutrition care remains effective and responsive to the patient’s health status.

  • Key Entities

    Diagram

    Provide Feedback

    Value Set Authority Center (VSAC), NLM

    Nutrition Focused Physical Findings Grouping

    Academy of Nutrition and Dietetics

    372

    Condition.code

    http://hl7.org/fhir/ValueSet/condition-code

    Members of the Nutrition Care Process Terminology reference set

    ^ 1303957004

    Nutrition Care Process Terminology reference set

    Condition.evidence.code

    http://hl7.org/fhir/ValueSet/clinical-findings

    N/A

    < 404684003

    Clinical finding

    Value Set Authority Center (VSAC), NLM

    Nutrition Diagnosis Grouping

    https://vsac.nlm.nih.gov/valueset/2.16.840.1.113762.1.4.1095.85/expansion

    Academy of Nutrition and Dietetics

    here
    here
    Provide Feedback

    167

    https://vsac.nlm.nih.gov/valueset/2.16.840.1.113762.1.4.1095.49/expansion

    Implementation Approaches and Considerations

    Implementing the SNOMED CT Nutrition Care Process Terminology (NCPT) Reference Set (Refset) within a clinical system can significantly improve the quality, consistency, and interoperability of nutrition documentation. This page outlines general approaches and considerations for successfully integrating the NCPT Refset into clinical workflows. These approaches will support healthcare professionals, technical implementers, and informatics teams in aligning documentation with the Nutrition Care Process (NCP) model.

    Key Approaches for Implementing the NCPT Reference Set

    The flowchart below illustrates key considerations and decisions involved in selecting the optimal approach for implementing the NCPT. Detailed descriptions of each approach are provided below.

    Mapping

    Mapping the NCPT Refset to existing local terminology is a common and practical starting point for implementation. By aligning SNOMED CT concepts within the NCPT Refset to equivalent or related terms used in the clinical system, mapping allows for accurate representation of nutrition-specific concepts without requiring extensive changes to existing systems.

    Recommendation

    Collaborate with clinical experts to ensure mappings accurately reflect the intended meanings within the nutrition and dietetics domain. SNOMED International offers a free online mapping service, Snap2SNOMED, which can be used to efficiently map local codes to SNOMED CT.

    Extracting a Plain List of Refset Members for Specific Contexts

    In certain contexts, such as documenting diagnoses, interventions, or outcomes, it may be beneficial to extract a plain list of relevant NCPT Refset members. This approach enables easy access to the specific concepts needed for different stages of the Nutrition Care Process without overloading the system with unrelated terms.

    For each concept, extract its unique identifier, terms, and domain (e.g., diagnosis, intervention, monitoring) to create a streamlined list that aligns with your specific implementation needs. The is a useful tool for this task, allowing efficient extraction of relevant SNOMED CT concepts directly from the terminology hierarchy. Use the bindings specified in General Terminology Bindings to determine the relevant SNOMED CT areas and subhierarchies for each data element, ensuring precise alignment with the appropriate SNOMED CT concepts. For this approach, it is important that you utilize the latest version of SNOMED CT and the NCPT reference set.

    SNOMED CT is organized hierarchically, allowing for flexible navigation from broad categories (e.g., body systems or clinical findings) down to specific details (e.g., particular conditions or interventions). Implementers can utilize these hierarchies to contextualize NCPT concepts, enhance search functionality, and streamline data entry by directing clinicians to the most appropriate concept level.

    Refer to the bindings specified in to identify the relevant SNOMED CT areas and subhierarchies for each data element. These bindings will help ensure accurate alignment with the appropriate SNOMED CT concepts. For this approach, it is important that you utilize the latest version of SNOMED CT and the NCPT reference set, as described in .

    Using a terminology server can be a powerful way to manage, update, and integrate SNOMED CT concepts, including the NCPT Refset, within a clinical system. Terminology servers provide real-time access to SNOMED CT and can support dynamic updates as new versions of the terminology become available, enhancing both usability and long-term system maintenance.

    Terminology servers offer centralized management of terms and facilitate seamless interoperability, especially when sharing data across systems or institutions.

    Engage with a technical team experienced in terminology servers and FHIR terminology services (FHIR TS) to ensure proper configuration, integration, and maintenance. Their expertise will help optimize server performance, enable seamless updates, and support interoperability across clinical applications. For this approach, it is important that you utilize the latest version of SNOMED CT and the NCPT reference set, as described in .

    We recommend following these fundamental steps to ensure a successful implementation of the NCPT Refset within SNOMED CT. Begin by engaging key stakeholders and assessing system capabilities, then set clear goals and consider starting with a pilot project. Providing user training on the Refset’s purpose and benefits will further support effective integration into clinical practice.

    Engage Relevant Stakeholders

    Begin by reaching out to your SNOMED CT National Release Center (NRC) or SNOMED International representative. They can offer valuable resources and guidance on accessing and implementing the NCPT Refset, ensuring alignment with regional and global standards.

    Review Existing System Capabilities

    Evaluate your current clinical information system’s capabilities, focusing on SNOMED CT compatibility, terminology mapping tools, and integration with a terminology server. Understanding system readiness helps identify any technical adjustments needed for successful implementation.

    Set Clear Goals for Implementation

    Define specific use cases and desired outcomes for the NCPT Refset, such as improved documentation consistency, enhanced clinical decision support, or interoperability with external systems. Clear goals will help guide the project scope and implementation strategy.

    Develop a Pilot Project

    Initiate a pilot project in a focused area, such as nutritional diagnosis or intervention. Starting small allows for the testing and refinement of workflows and user interactions, providing valuable insights before scaling to a full implementation.

    Training and Education

    Conduct training for clinical users, particularly nutrition and dietetics professionals, to ensure they understand the NCPT Refset’s purpose and benefits within SNOMED CT. Providing hands-on experience builds confidence and ensures that staff are well-prepared to use the Refset effectively in their practice.

    For additional guidance, technical resources, or support with the NCPT Refset implementation, consider reaching out to:

    • National Release Center (NRC): snomed.org/members

    • Nutrition and Dietetics Clinical Reference Group (CRG): Participate in discussions or obtain updates related to NCPT within SNOMED CT by joining the Nutrition and Dietetics CRG.

    • SNOMED International Implementation Support Team:

    Recommendation

    Utilizing Hierarchies

    Recommendation

    Implementing a Terminology Server

    Recommendation

    Getting Started: Steps and Considerations

    Support and Resources

    SNOMED Term Extractor
    General Terminology Bindings
    Accessing the NCPT Reference Set
    Accessing the NCPT Reference Set
    implementation@snomed.org
    Provide Feedback

    FHIR Resources for Nutrition Assessment and Reassessment

    Nutrition Assessment involves collecting and analyzing data to identify nutrition-related issues.

    Nutrition Assessment Data and Associated FHIR Resources

    Several FHIR resources can represent different aspects of the assessment:

    Types of data collected
    Purpose
    Example
    FHIR Resource

    Food- and nutrition-related history

    Capture dietary habits and intake information

    Food diary entries

    Observation NutritionOrderNutritionProduct****NutritionIntake

    Anthropometric measurements

    Record physical measurements such as weight, height, BMI

    Weight: 70 kg, Height: 170 cm

    Observation

    Tests

    Document laboratory or diagnostic tests

    Blood glucose levels

    Observation

    Test results

    Record results of tests

    Hemoglobin A1c: 5.5%

    Observation

    Nutrition-focused physical examination findings

    Detailed findings from a nutrition-focused physical exam

    Skin condition, hair texture

    Observation****Condition

    Patient history

    Capture medical history

    Chronic conditions, surgeries

    Observation

    Example

    Provide Feedback
    Nutrition Assessment
    [code]
    {
    "resourceType": "Observation",
    "id": "observation-weight",
    "status": "final",
    "category": [
    {
    "coding": [
    {
    "system": "http://terminology.hl7.org/CodeSystem/observation-category",
    "code": "vital-signs",
    "display": "Vital Signs"
    }
    ]
    }
    ],
    "code": {
    "coding": [
    {
    "system": "http://snomed.info/sct",
    "code": "27113001",
    "display": "Body weight (observable entity)"
    }
    ],
    "text": "Body Weight"
    },
    "subject": {
    "reference": "Patient/example"
    },
    "valueQuantity": {
    "value": 70,
    "unit": "kg",
    "system": "http://unitsofmeasure.org",
    "code": "kg"
    }
    }
    [/code]

    Nutrition Monitoring and Evaluation

    Content and Modeling

    • Main hierarchies

      • Terminology for Nutrition Monitoring and Evaluation is predominantly but not exclusively from the Observable Entity hierarchy, but also from the Clinical Finding hierarchy, which encompass questions, outcomes, and indicators relevant to evaluating nutrition interventions and goals.

      • The content is modeled in alignment with these previously described hierarchies

    • Templates

      • As part of the content development process, authoring templates were created to support future content additions and quality assurance of existing and new content in this area. The templates described in the assessment and reassessment section are also applicable to monitoring and evaluation.

    This will also include concepts from Nutrition Assessment and Reassessment section with some additional examples given here. With the exception of historical assessment content, Nutrition Assessment and Reassessment concepts are modified to achieve nutrition care goals and track nutrition care progress in the Nutrition Monitoring and Evaluation step of the NCP.

    Examples

    390802008 |Goal achieved (finding)|

    870605008 |Target weight for length z-score (observable entity)|

    Nutritional intake (observable entity) - v3.0
    Provide Feedback

    Check if a Concept is Part of the SNOMED CT NCPT Reference Set

    Demonstration Video

    The following video shows how to verify if a given concept is a member of the NCPT reference set using the SNOMED International SNOMED CT Browser. You can access the browser at browser.snomedtools.org.

    Step-by-Step Instructions

    Explore how to verify if a concept is part of the NCPT reference set using the SNOMED International SNOMED CT Browser. You can access the browser at browser.snomedtools.org.

    1. Open the SNOMED CT Browser ()

    2. Click "Go browsing...International Derivatives"

    3. Perform a search for a concept of interest.

    Fill in a search term matching the concept you are looking for.

    4. Select the concept of interest

    Click on the concept, so that its details appear in the Summary section

    5. Click "Refsets"

    Select the "Refsets" tab

    If you see the concept |Nutrition Care Process Terminology reference set| in the list of Simple Refsets Memberships, this means that the selected concept is included in the reference set.

    As you can see here, when selecting the concept 414916001 |Obesity (disorder)|, this is part of the reference set.

    Try to search for and select the concept

    Click on "Refsets"

    As you can see, the |Nutrition Care Process Terminology reference set| does not appear in the list of Simple Refsets Memberships, indicating that the selected concept is NOT part of the reference set.

    Implementation and Flexibility in Clinical Guideline Application

    Implementing the NCPT reference set and following the recommendations in this guide do not require adherence to any specific clinical guidelines. Instead, this guide is designed to support flexible application, allowing nutrition assessments, interventions, and care plans to be tailored to the diverse practices, standards, and needs found across healthcare settings. Clinical guidelines and care protocols are inherently context-dependent, and practices may vary across different organizations, regions, and countries. As such, this guide does not prescribe or recommend any particular clinical guidelines, recognizing that suitable approaches may differ based on local and organizational requirements.

    Clinical guidelines , also known as “clinical practice guidelines,” are “statements that provide recommendations intended to optimize patient care, informed by a systematic review of evidence and an evaluation of the benefits and risks of alternative care options.” Developed and implemented according to internationally recognized standards, clinical guidelines play an important role in:

    • Reducing unwarranted practice variation by providing evidence-based recommendations

    Facilitating the integration of research into practice by guiding clinicians in evidence-based decision-making

  • Enhancing healthcare quality and safety by supporting consistent standards of care

  • Clinical guidelines serve multiple purposes, including helping healthcare professionals deliver optimal care, establishing standards for evaluating clinical practices, and supporting patient education and informed decision-making. They can influence care outcomes positively when effectively disseminated and integrated into clinical processes.

    In the delivery of nutrition and dietetics care specifically, standardized terminology facilitates the ongoing application of evidence-based practice guidelines in practice. Aggregated structured electronic health care record data is the backbone for tracking outcomes on various levels: at the service, the organization, the regional, national, and international levels. Outcomes research helps justify nutrition and dietetics position statements, related professional standards of practice, and decisions (eg funding, staffing, reimbursement or political and/or financial level decision-making depending on the country and healthcare environment). The ANDHII (The Academy of Nutrition and Dietetics Health Informatics Infrastructure) platform (log in required) contains a digital NCP template that dietitians use to document nutrition care care data which is then aggregated and analyzed for outcomes tracking. Translational research helps validate and or further fine tune evidence-based practice guidelines. Expected care plans (ECPs) are bundles of NCPT terms that have been identified as representing the application of a specific recommendation in a guideline. Several professional and scientific organizations internationally are invested in generating timely nutrition and dietetics evidence-based practice guidelines that progress scientific clinical knowledge and care delivery.

    Completing the Evidence-Based Practice Cycle: Linking Research with Practice

    Reprinted from J Acad Nutr Diet. 2017 May, Papoutsakis C, Moloney L, Sinley RC, Acosta A, Handu D, Steiber AL. Academy of Nutrition and Dietetics Methodology for Developing Evidence-Based Nutrition Practice Guidelines, Pages 794-804, Copyright 2017, with permission from Elsevier.

    This guide supports the adoption and implementation of the NCPT reference set by providing general recommendations that can be adapted to a variety of settings. However, it does not establish specific clinical guidelines, nor does it dictate how the NCPT should be integrated within particular clinical protocols. Organizations are encouraged to interpret and apply the NCPT reference set in ways that are responsive to their unique operational contexts, existing guidelines, and local practices.

    By emphasizing flexibility, this guide aims to empower healthcare organizations to utilize the NCPT reference set effectively, in alignment with their own best practices and patient care standards.

    Provide Feedback

    Adapting Clinical Guidelines to Local Contexts

    Role of Clinical Guidelines in Supporting Optimal Care

    1. Hickson M, Papoutsakis C, Madden AM, Smith MA, Whelan K. Nature of the evidence base and approaches to guide nutrition interventions for individuals: a position paper from the Academy of Nutrition Sciences. Br J Nutr. May 28 2024;131(10):1754-1773. doi:10.1017/s0007114524000291
    
    2. Kight CE, Bouche JM, Curry A, et al. Consensus Recommendations for Optimizing Electronic Health Records for Nutrition Care. Nutr Clin Pract. Feb 2020;35(1):12-23. doi:10.1002/ncp.10433
    
    3. Lamers-Johnson E, Kelley K, Knippen KL, et al. A quasi-experimental study provides evidence that registered dietitian nutritionist care is aligned with the Academy of Nutrition and Dietetics evidence-based nutrition practice guidelines for type 1 and 2 diabetes. Front Nutr. 2022;9:969360. doi:10.3389/fnut.2022.969360
    
    4. Lamers-Johnson E, Kelley K, Sánchez DM, et al. Academy of Nutrition and Dietetics Nutrition Research Network: Validation of a Novel Nutrition Informatics Tool to Assess Agreement Between Documented Nutrition Care and Evidence-Based Recommendations. J Acad Nutr Diet. Apr 2022;122(4):862-872. doi:10.1016/j.jand.2021.03.013
    
    5. Long JM, Yoder A, Woodcock L, Papoutsakis C. Impact of a Registered Dietitian Nutritionist-Led Food as Medicine Program in the Food Retail Setting: A Feasibility Study. J Acad Nutr Diet. Nov 2024;124(11):1503-1513. doi:10.1016/j.jand.2024.07.007
    
    6. Murphy WJ, Yadrick MM, Steiber AL, Mohan V, Papoutsakis C. Academy of Nutrition and Dietetics Health Informatics Infrastructure (ANDHII): A Pilot Study on the Documentation of the Nutrition Care Process and the Usability of ANDHII by Registered Dietitian Nutritionists. J Acad Nutr Diet. Oct 2018;118(10):1966-1974. doi:10.1016/j.jand.2018.03.013
    
    7. Papoutsakis C, Moloney L, Sinley RC, Acosta A, Handu D, Steiber AL. Academy of Nutrition and Dietetics Methodology for Developing Evidence-Based Nutrition Practice Guidelines. J Acad Nutr Diet. May 2017;117(5):794-804. doi:10.1016/j.jand.2016.07.011
    
    8. Proaño GV, Papoutsakis C, Lamers-Johnson E, et al. Evaluating the Implementation of Evidence-based Kidney Nutrition Practice Guidelines: The AUGmeNt Study Protocol. J Ren Nutr. Sep 2022;32(5):613-625. doi:10.1053/j.jrn.2021.09.006

    Scope and Intent of Implementation Advice

    References

    6. View simple type reference sets

    7. Here you see what simple type reference sets, the selected concept is included in

    8. In this example, the concept 'Hypoglycaemic coma' is selected

    9. Click "Refsets"

    10. This concept is NOT included in the NCPT reference set

    267384006 |Coma due to hypoglycemia (disorder)|
    Provide Feedback
    browser.snomedtools.org

    Using the NCPT Reference Set

    When working with the Nutrition Care Process Terminology (NCPT) reference set, it’s essential to have efficient access to the content through various systems, regardless of the technology used.

    Clinical applications will access the Reference Set content from the selected terminology repository. The main functional requirements include listing all concepts in the Reference Set, filtering by text search strings, and validating whether a concept is a member of the Reference Set.

    This page provides examples of how to interact with the reference set, whether you’re using a FHIR terminology server or a relational database like MySQL.


    Accessing the Reference Set from a FHIR Terminology Server

    When working with the Nutrition Care Process Terminology (NCPT) reference set, leveraging a FHIR terminology server can simplify access and management.

    A FHIR terminology server provides mechanisms to work with the Reference Set as a Value Set. The main operations available are $expand and $validate-code.

    FHIR Operations

    $expand — Get all members of the reference set

    Required:

    • A reference set specified by its refsetId, for example:

      1303957004 |Nutrition Care Process Terminology reference set (foundation metadata concept)|

    • A list of concept or description IDs

    • Option to include additional information about each concept or description

    $validate-code — Test if a concept or description is a member of the reference set

    Required:

    • A reference set specified by its refsetId

    • A candidate concept.id

    • Returns TRUE if the candidate is a member, FALSE otherwise


    These examples use the concept 1303957004 |Nutrition Care Process Terminology reference set (foundation metadata concept)| as the refsetId.

    Get all members of the reference set

    API Call:

    Example:

    Alternative using Expression Constraint Language (ECL):

    or:

    Result:

    Returns a JSON representation of the reference set members.

    Each concept includes:

    • code: the conceptId of the reference set member

    • display: the preferred term for the reference set member

    Also returns:

    • total: the total number of reference set members

    Paging Parameters:

    • count: limits the number of members returned

    • offset: specifies the start position in the results (in multiples of the limit)


    Test if a concept is a member of the reference set

    API Call:

    Example:

    Result:

    Returns a JSON object with a FHIR Parameters resource, including:

    • result: a boolean value (true or false) indicating whether the concept is a member of the reference set


    If the Reference Set has been loaded into a relational database using a model that complies with the RF2 specification for tables and column names, the reference set content can be accessed using SQL queries.


    SQL Query:

    Example:

    Result:

    Returns the IDs of all the concepts or descriptions that are members of the reference set.


    SQL Query:

    Example:

    Result:

    • 0: if the candidate component is not in the reference set

    • 1: if the candidate component is a member of the reference set

    Some reference sets may include the same component more than once. Any value greater than zero indicates that the component is a member of the reference set.

    Example FHIR Requests

    Accessing the Reference Set in a Relational Database

    SQL Query Examples

    Get all members of the reference set

    Test if a concept is a member of the reference set

    Provide Feedback
    GET [fhir]/ValueSet/$expand?url=http://snomed.info/sct?fhir_vs=refset/[refsetId]&count=10
    GET [fhir]/ValueSet/$expand?url=http%3A%2F%2Fsnomed.info%2Fsct%3Ffhir_vs%3Drefset%2F1303957004&count=10
    GET [fhir]/ValueSet/$expand?url=http%3A%2F%2Fsnomed.info%2Fsct%3Ffhir_vs%3Decl%2F%5E%5B1303957004%5D&count=10
    GET [fhir]/ValueSet/$expand?url=http%3A%2F%2Fsnomed.info%2Fsct%3Ffhir_vs%3Decl%2F%5E1303957004&count=10
    GET [fhir]/ValueSet/$validate-code?system=http://snomed.info/sct&code=181216001&url=http://snomed.info/sct/[moduleId]/version/[effectiveTime]?fhir_vs=refset/[refsetId]
    GET [fhir]/ValueSet/$validate-code?system=http://snomed.info/sct&code=181216001&url=http://snomed.info/sct/900000000000207008/version/20200131?fhir_vs=refset/723264001
    SELECT referencedComponentId FROM snap_refset_simple
        WHERE active=1 AND refsetId=[refsetId];
    SELECT referencedComponentId FROM snap_refset_simple
        WHERE active=1 AND refsetId=1303957004;
    SELECT count(referencedComponentId)
        FROM snap_refset_simple
        WHERE active=1 AND refsetId=[refsetId]
          AND referencedComponentId=[candidateComponentId];
    SELECT count(referencedComponentId)
        FROM snap_refset_simple
        WHERE active=1 AND refsetId=1303957004    
          AND referencedComponentId=53120007;

    Accessing the NCPT Reference Set

    The NCPT reference set is distributed as an independent derivative package. Using it requires a valid Affiliate License, which can be obtained through national or international channels depending on the user’s location. Understanding the licensing requirements and processes is essential for proper utilization and compliance. For more detailed information on obtaining a license and accessing the NCPT reference set, users should contact their National Release Center or SNOMED International directly.

    License to Use SNOMED CT

    To access and use the NCPT reference set, users must have a valid Affiliate License for SNOMED CT. SNOMED CT is a globally recognized clinical terminology standard, and its usage is governed by strict licensing agreements to ensure compliance and proper utilization. Licensing ensures that users are authorized to access and implement SNOMED CT in their systems.

    Individuals or organizations interested in using SNOMED CT must obtain an Affiliate License through their respective National Release Center (NRC) or via SNOMED International.

    More information can be found here: https://www.snomed.org/get-snomed

    Countries that are members of SNOMED International have specific licensing arrangements in place for accessing SNOMED CT, including the NCPT reference set.

    The following points outline the key aspects of member licensing:

    • Member Countries: Member countries have a national licensing arrangement with SNOMED International. Healthcare professionals and organizations within these countries can usually access SNOMED CT through their NRC without additional licensing fees.

    • Access via NRCs: National Release Centers are responsible for distributing SNOMED CT within their respective countries. They provide access, support, and updates to licensed users. Users should contact their NRC for specific details on how to access the NCPT reference set.

    • Non-Member Countries: In countries that are not members of SNOMED International, individuals and organizations must directly approach SNOMED International to obtain the necessary licenses. This may involve additional costs and compliance with international licensing requirements.

    The SNOMED International Member Licensing and Distribution Service (MLDS) facilitates access to the NCPT reference set by providing a centralized platform for distributing SNOMED CT and its related reference sets.

    The MLDS simplifies the distribution and licensing process for SNOMED CT, including the NCPT reference set. It is available to users through their National Release Centers (NRCs) in member countries and directly through SNOMED International for users in non-member countries.

    • MLDS:

    • User Guidance:

    Once logged into MLDS, you can access the NCPT release package under ‘SNOMED Releases’, as shown in the example image below. This is also the place where release notes are found.

    **

    Information Models and Terminology Binding

    A well-defined information model and appropriate terminology bindings are essential to accurately document the NCP within healthcare systems using SNOMED CT. The information model provides a structured framework for organizing data related to nutrition assessment, diagnosis, intervention, and monitoring. Terminology bindings link this data to standardized SNOMED CT concepts, promoting consistent communication and interoperability across healthcare settings. This approach ensures clear and precise documentation, facilitates data sharing, and supports high-quality, patient-centered nutrition care.

    To clarify how the NCP can be implemented in clinical information systems and supported by SNOMED CT, a Logical Model for the NCP is presented. This model serves as a technology-agnostic common reference information model, adaptable to specific implementation needs, and highlights points where terminology bindings to SNOMED CT can be effectively applied.

    By establishing these models and bindings, healthcare organizations can achieve precise data recording and effective data use.

    In recent years, the integration of HL7® FHIR® with SNOMED CT has gained popularity. Given its wide acceptance and capabilities, HL7 FHIR is the preferred information model in this implementation guide. The following sections provide recommended strategies for integrating SNOMED CT with HL7 FHIR to document the NCP within electronic health records (EHRs).

    Other information modeling solutions, such as openEHR, may provide useful archetypes. However, they are not included in this version of the guide due to the lack of widely recognized international models in this area. As progress continues, future updates to the guide may include these frameworks.

    General Terminology Bindings

    This section summarizes the key entities and attributes defined in the Logical Model and indicates where SNOMED CT concepts can be used to represent values.


    Attribute
    SNOMED CT Concept(s)
    Description
    Notes

    Technical Application

    The Technical Application chapter of the SNOMED CT Implementation Guide for the Nutrition Care Process Terminology (NCPT) Reference Set offers practical guidance for implementing and using the reference set in healthcare systems. It covers topics such as implementation approaches, translation of reference set members, accessing and deploying the NCPT Reference Set, and applying it in clinical workflows.

    This chapter provides an overview of the steps needed to integrate the NCPT Reference Set effectively, including working with National Release Centers to align with SNOMED CT standards. By following the guidance, organizations can support standardized nutrition care documentation and improve consistency in nutrition-related data use.

    Provide Feedback
    Provide Feedback

    Accessing the NCPT Reference Set via MLDS

    Access to MLDS

    Identifying the Release Package

    snomed.org/mlds
    MLDS User Guide
    Provide Feedback
    **

    The patient’s name

    N/A

    Age

    184099003 |Date of birth (observable entity)|or<< 424144002 |Current chronological age (observable entity)|

    The patient’s age

    N/A

    Gender

    263495000 |Gender (observable entity)|or33821000087103 |Gender identity (observable entity)|

    The patient’s gender

    < 285116001 |Gender identity finding (finding)|

    Medical History

    << 363788007 |Clinical history/examination observable (observable entity)|

    Records of past and ongoing health conditions

    < 404684003 |Clinical finding (finding)|< 417662000 |History of clinical finding in subject (situation)|


    Attribute
    SNOMED CT Concept(s)
    Description
    Notes

    Name

    N/A

    The dietitian’s full name

    N/A

    Credentials


    Attribute
    SNOMED CT Concept(s)
    Description
    Notes

    Assessment Type

    #MEMBERS of the RefSet that are types of: << 364393001 |Nutritional observable (observable entity)|or<< 225388007 |Dietary intake assessment (procedure)|

    Type of assessment

    Model Meaning Binding

    Date


    Attribute
    SNOMED CT Concept(s)
    Description
    Notes

    Diagnosis

    439401001 |Diagnosis (observable entity)|

    Diagnosis label

    Model Meaning Binding

    Problem

    Etiology Domain
    SNOMED CT Concept(s)
    Description

    Beliefs–Attitudes

    118196009 |Value belief finding (finding)|

    Beliefs, emotional responses, or attitudes that impact nutrition (e.g., food aversion, denial, distrust of dietary advice).

    Cultural

    N/A


    Attribute
    SNOMED CT Concept(s)
    Description
    Notes

    Order

    16076005 |Prescription (procedure)|

    Represents the act of prescribing a diet

    Model Meaning Binding

    Diet Type


    Attribute
    SNOMED CT Concept(s)
    Description
    Notes

    Goal

    225294001 |Identifying goals (procedure)|

    General goal-setting activity

    Model Meaning Binding

    Description


    Attribute
    SNOMED CT Concept(s)
    Description
    Notes

    Plan Definition

    1279742004 |Development of nutrition care plan (procedure)|

    Formal creation of a nutrition care plan

    Model Meaning Binding

    Goals


    Attribute
    SNOMED CT Concept(s)
    Description
    Notes

    Type

    N/A

    Type of intervention (e.g., education, supplementation)

    ^ 1303957004 |Nutrition Care Process Terminology reference set|< 71388002 |Procedure (procedure)|

    Description


    Attribute
    SNOMED CT Concept(s)
    Description
    Notes

    Monitoring Type

    386374005 |Nutritional monitoring (regime/therapy)|

    Follow-up or review action

    Model Meaning Binding

    Date

    Provide Feedback

    Name

    Additional attributes may be added as needed to support local or organizational requirements.

    Patient

    << 703503000 |Name (observable entity)|

    Dietitian

    Nutrition Assessment

    Diagnosis

    Etiology Value Set Example

    Diet Order

    Goal

    Care Plan

    Intervention

    Monitoring and Evaluation

    Nutrition Assessment and Reassessment

    Content and Modeling

    • Main hierarchies

      • Terminology for nutrition assessment is predominantly from the Observable Entities hierarchy and includes questions relating to client and food/nutrition-related history, anthropometric measurements, biomedical tests and assessment tools. Also included in nutrition assessment is nutrition focused physical findings from the Clinical Finding hierarchy.

    • Key attributes and value ranges

      • A range of attributes are available to represent the properties for concepts in this hierarchy (); however, the key attributes that are used for content in the scope of nutrition assessment and reassessment include:

        • Technique: This attribute links to a concept from the Technique (qualifier value) hierarchy and specifies the observation method, e.g., estimation, measurement.

        • Property: This attribute links to a concept from the Property (qualifier value) hierarchy and specifies the type of feature to be observed, e.g., intake quantity, energy intake.

    • Templates

      • As part of the content development process, authoring templates were created to support future content additions and quality assurance of existing and new content in this area.

    This template ensures that nutrition assessment concepts are modeled clearly, consistently, and clinically relevant, supporting effective documentation and interoperability in healthcare settings.

    Nutrition Diagnosis

    Content and Modeling

    • Main hierarchies

      • Terminology for nutrition diagnosis is predominantly but not exclusively from the Clini cal Finding hierarchy within SNOMED CT. This hierarchy includes concepts related to nutrition-related health issues, conditions, and diagnoses, such as malnutrition, nutrient deficiencies and imbalances.

    • Key Attributes and Value Ranges

      • A range of attributes is available to represent the properties for concepts within this hierarchy (); however, the key attributes relevant for nutrition assessment and diagnosis include:

        • Interprets : This attribute links the diagnosis to an observable entity being assessed or measured. For example, a diagnosis of 'difficulty swallowing ' interprets the observation related to a patient's 'ability to swallow', see the example below. This attribute specifies what aspect of nutrition or health is being interpreted within the context of the diagnosis.

    • Templates

      • As part of the content development process, authoring templates were created to support future content additions and quality assurance of existing and new content in this area.

    This template ensures that nutrition diagnosis concepts are modeled in a clear, consistent, and clinically relevant manner, supporting effective documentation and interoperability in healthcare settings.

    Problems related to intake of energy, nutrients, fluids, bioactive constituents through oral diet or nutrition support.

    870404000 |Excessive intake of carbohydrate (finding)|

    897491008 |Inadequate intake of protein and/or protein derivative (finding)|

    Nutritional findings/problems identified that relate to medical or physical conditions

    288939007 |Difficulty swallowing (finding)|

    448765001 |Unintentional weight loss (finding)|

    Nutritional findings/problems that relate to knowledge, attitudes, beliefs, physical environment, access to food or food safety

    1149231004 |Absence of readiness for nutrition behavior change (situation)|

    1163267006 |Able to access potable water with difficulty (finding)|

    N/A

    Professional qualifications and certifications

    N/A

    Role

    N/A

    The specific function or position of the dietitian

    < 159033005 |Dietitian (occupation)|< 223366009 |Healthcare professional (occupation)|

    439272007 |Date of procedure (observable entity)|

    The date the assessment was conducted

    Food and Nutrition Intake

    #MEMBERS of the RefSet that are types of: << Clinical findings --> finding of nutr... intake

    Dietary intake information

    < 300893006 |Nutritional finding (finding)|< 363246002 |Nutritional deficiency associated condition (disorder)|

    Anthropometrics

    << 248326004 |Body measure (observable entity)|

    Measurements like weight, height, and BMI

    365605003 |Body measurement finding (finding)|

    Lab Results

    << 364712009 |Laboratory test observable (observable entity)|

    Results from laboratory tests relevant to nutrition

    441742003 |Evaluation finding (finding)|

    Physical Findings

    << 363788007 |Clinical history/examination observable (observable entity)|

    Observable signs related to nutrition status

    < 404684003 |Clinical finding (finding)|

    << 439401001 |Diagnosis (observable entity)|

    The nutrition issue identified (e.g., malnutrition)

    ^ 1303957004 |Nutrition Care Process Terminology reference set| < 404684003 |Clinical finding (finding)|< 413350009 |Finding with explicit context (situation)|

    Etiology

    405534009 |Adverse incident contributing factor (observable entity)|

    The cause or contributing factor of the problem.

    'Etiology value set'

    Signs/Symptoms

    N/A

    Observable or reported evidence of the problem.

    Can be used to represent clinical signs and symptoms. < 404684003 |Clinical finding|

    Cultural values or customs influencing nutrition care.

    Knowledge

    870752006 |Finding related to health literacy (finding)|

    Lack of knowledge or health literacy affecting nutrition.

    Physical Function

    105719004 |Body disability AND/OR failure state (finding)|

    Physical or cognitive impairment limiting function.

    Physiologic–Metabolic

    404684003 |Clinical finding (finding)|

    Medical factors such as disease or metabolic disorder.

    Psychological

    284465006 |Finding relating to psychosocial functioning (finding)|

    Mental health issues affecting nutrition care.

    Social–Personal

    271437004 |Problem situation relating to social and personal history|

    Social environment or personal history influences.

    Treatment

    N/A

    Medical or surgical treatment affecting nutrition status.

    Access

    445281000124101 |Nutrition impaired due to limited access to healthful foods (finding)|

    Barriers to accessing safe or sufficient food.

    Behavior

    N/A

    Behaviors contributing to nutritional problems.

    << 278846007 |Dietetic procedures (procedure)|<< 386373004 |Nutrition therapy (regime/therapy)|

    Specific type of prescribed diet (e.g., diabetic, low sodium)

    Modifications

    445341000124100 |Modification of nutritional regime (regime/therapy)|<< 445341000124100 |Modification of nutritional regime (regime/therapy)|

    Adjustments made to the diet (e.g., texture, volume)

    << 1055210001 |Target parameter (observable entity)|

    Textual or coded representation of the goal

    < 404684003 |Clinical finding (finding)|

    Measurable Outcome

    << 1055210001 |Target parameter (observable entity)|

    Quantifiable metric for evaluating progress

    << 365605003 |Body measurement finding (finding)| (not limited to this subset)

    Target Date

    N/A

    Deadline for achieving the goal

    N/A

    << 1055210001 |Target parameter (observable entity)|

    High-level objectives in the care plan

    See Goal section

    Start Date

    N/A

    Date the care plan starts

    End Date

    442137000 |Completion time of procedure (observable entity)|

    Date the care plan ends

    N/A

    Narrative or coded intervention detail

    N/A

    Frequency

    N/A

    How often the intervention is delivered

    Can use FHIR timing data types

    439272007 |Date of procedure (observable entity)|

    Evaluation date

    Metrics

    N/A

    Metrics to track progress

    404684003 |Clinical finding (finding)|

    Outcome

    #MEMBERS of the RefSet that are types of: << 364393001 |Nutritional observable (observable entity)|or<< 225388007 |Dietary intake assessment (procedure)|

    Final status or progress against goals

  • Characterizes: This attribute links to a concept from the Introduction procedure (procedure) hierarchy and specifies the process associated with intake quantity or energy intake, e.g. administration via gastrointestinal route.

  • Please view the examples below illustrating the modeling of these concepts.

  • Examples

    Food/nutrition related history

    868240000 |Estimated intake of energy via oral route in 24 hours (observable entity)|

    897140000 |Measured quantity of fat and oil intake in grams in one meal (observable entity)|

    Assessment, monitoring and evaluation tools

    895533005 |Mini Nutritional Assessment score (observable entity)|

    1153598007 |Weight for length z score (observable entity)|

    Nutritional intake (observable entity) - v3.0
    Provide Feedback
    Has Interpretation
    : This attribute represents the outcome or evaluation of the observation, specifying how the observation is interpreted in relation to the diagnosis. For example, it may link to a
    Qualifier Value
    such as
    Deficient
    ,
    Excessive
    , or
    Normal
    intake, providing a clear description of the interpretation relevant to the nutrition diagnosis.
  • These attributes, Interprets and Has Interpretation , ensure that each diagnosis is directly linked to the observed data and its interpretation, allowing for precise and standardized representation of nutrition-related diagnoses within SNOMED CT.

  • Examples

    Nutrition Intake findings

    Clinical Nutrition Diagnoses

    Behavioral-Environmental Nutrition Diagnoses

    Nutrition intake (finding) - v1.0
    Provide Feedback

    Nutrition Interventions

    Content and Modeling

    • Main hierarchies

      • Terminology for nutrition interventions are represented in the SNOMED CT 386373004 | Nutrition therapy (regime/therapy)| hierarchy to facilitate recording nutrition interventions such as food and/or nutrient delivery, or coordination of nutrition care by a nutrition professional. Counselling interventions are represented in SNOMED in the 441041000124100 |Counseling about nutrition (regime/therapy)| hierarchy

        • Key branches:

          • 386373004 | Nutrition therapy (regime/therapy) |

          • 384760004 |Feeding and dietary regime (regime/therapy)|

          • 61310001 |Nutrition education (procedure)|.

    • Key attributes and value ranges

      • A range of attributes are available to represent the properties for concepts in this hierarchy (); however, the key attributes that are used for content in the scope of nutrition assessment and reassessment include:

        • Method: This attribute links to a concept from the Action (qualifier value) hierarchy and specifies the action used to perform the procedure, e.g. education, counselling, administration.

    • Templates

      • As part of the content development process authoring, templates were created to support future content additions and quality assurance of existing and new content in this area. Currently, there is one template outlining the model for a modified substance diet . However, additional templates may be developed in the future to support various interventions.

      • This template ensures that nutrition diagnosis concepts are modeled in a clear, consistent, and clinically relevant manner, supporting effective documentation and interoperability in healthcare settings.

    Direct substance: This attribute links to a concept from the substance hierarchy and represents the substance that is directly involved or acted upon in a clinical procedure e.g. administration of carbohydrate in 436681000124105 |Increased carbohydrate diet (regime/therapy)|.

  • Has focus: This attribute links to a concept from the clinical finding or procedure hierarchies, specifying the particular clinical finding or procedure that is the primary focus of the current procedure, e.g. For 437331000124101 |Increased iron diet (regime/therapy)| the focus is an inadequate intake of iron (finding)

  • Examples

    Food and/or Nutrient Delivery

    1148495004 |Increased complex carbohydrate diet (regime/therapy)|

    1255825005 |International Dysphagia Diet Standardisation Initiative Framework - Pureed Level 4 food (regime/therapy)|

    1255164005 |Halal diet (regime/therapy)|

    229912004 |Enteral feeding (regime/therapy)|

    Education and counselling

    445291000124103 |Nutrition-related skill education (procedure)|

    441271000124102 |Counseling about nutrition using goal setting strategy (regime/therapy)|

    Modified substance diet (regime/therapy) - v2.0
    Provide Feedback
    **
    **

    Example Implementations

    Two examples are offered as to how the refset could streamline digital nutrition care. Because the Nutrition Refset is relatively new, few implementation examples exist. However, these two scenarios offer insight into possible use cases. First, in Brisbane, Australia, a nutrition diagnosis dashboard using NCPT was developed for internal reports to demonstrate nutrition care outcomes. (This was presented in a May 2024 webinar, which is available with a Commission on Dietetic Registration account https://www.pathlms.com/cdr/courses/69648) And second, Sweden will be transitioning to a new EHR (2024-2025). Dietitians in Sweden see opportunities to incorporate the refset into the transition advancing report generation and demonstrating quality care [personal correspondence]. With the Swedish EHR transition, dietitians are working with nursing to standardize malnutrition diagnostic criteria and nutrition interventions among other issues. The completed nutrition care refset would support this work in Sweden.

    Participation in standards development, recognize others with interest in nutrition such as wound care, treatment of dysphagia (https://iddsi.org/events/webinar-promoting-meaningful-electronic-health-information-exchange-between-patient-care-sites-inclusion-of-iddsi-in-snomed-ct) and general nursing practice. Implementation of the refset in these care areas would be expected to grow as interventions are included.

    The article accompanying the refset release (Lloyd et al , 2024) suggests additional use cases. The availability of a defined terminology can promote:

    1. Cross border demonstration of nutrition care outcomes: US and Australian dietitians comparing Hemoglobin A1C changes after nutrition intervention

    2. Cross border and cross-cultural research to assess culturally diverse diets in the treatment of Inflammatory Bowel Disease.

    Provide Feedback

    Appendices

    Appendix A: How to Learn More
    Appendix B: Glossary of Terms
    Appendix C: International Standards and Resources
    Appendix D: Exception List
    Provide Feedback

    SNOMED CT NCPT Reference Set

    The SNOMED CT Nutrition Care Process Terminology (NCPT) Reference Set is a product agreed as part of a collaboration agreement between the Academy of Nutrition and Dietetics and the International Health Terminology Standards Organisation (IHTSDO), trading as SNOMED International. NCPT content has been incorporated into SNOMED CT and released as a reference set by SNOMED International. This production release is based on NCPT, 2020 edition. Additional concepts in the refset that are not from the NCPT, 2020 edition, are provided as a separate exception list in Appendix D. The current NCPT, 2023 edition, is available at www.nutritioncareprocess.org (log in required). The spreadsheet of NCPT, 2020 edition is available to organizations upon request (www.nutritioncareprocess.org - organization level log in required).

    Why is the SNOMED CT NCPT reference set needed?

    The SNOMED CT NCPT reference set contains concept references from the SNOMED CT hierarchy, each carefully aligned with the Nutrition Care Process Terminology. In the absence of a dedicated nutrition hierarchy within SNOMED CT, these concepts are sourced from multiple subhierarchies. The reference set effectively organizes these nutrition-specific concepts, streamlining their integration into electronic documentation.

    What is it?

    When downloaded (for details, see Accessing the NCPT Reference Set), the SNOMED CT NCPT Reference Set is a list of SNOMED CT concept identifiers. To utilize the codes referenced in the set, a user must also have access to the International Edition of SNOMED CT. A user will find in the International Edition of SNOMED CT all the associated concept names and relationships (definitions). Please see below the "Explore the SNOMED CT Reference Set" section and Technical Application.

    The initial release of this reference set contained 166 NCPT nutrition problems from the Clinical Finding and Situation with Explicit Context hierarchies. These represent Nutrition Diagnoses from the 2020 Nutrition Care Process Terminology publication including nutrition intake findings, clinical nutrition diagnoses and behavioral-environmental nutrition diagnoses.

    The April 2025 release expanded the refset with the addition of nutrition intervention terms mapped to SNOMED CT, bringing the total to 583 concepts across findings, situations, procedures, regime/therapies, and environments. The most recent release (April 2026) contains an additional 1,115 concepts, mostly in the nutrition assessment and monitoring and evaluation domain. Of these, 497 reflect additions or re-mappings introduced in the 2023 NCPT publication. This refset release also includes 1 additional intervention concept and 2 additional diagnostic concepts. Also, the April 2025 refset (intervention and diagnostic concepts) includes additional 2023 NCPT updated content: 139 intervention concepts and 24 diagnostic concepts were added from the 2023 NCPT publication. More information about specific concepts can be found in .

    The gradual updating of the SNOMED CT NCPT reference set that prioritized nutrition problems aligns with data from the International NCP Implementation Survey (INIS). INIS is a research consortium of 23 countries across the globe (led by Sweden) tracking the implementation of the NCP and NCPT. Specifically, INIS data showed that countries implement the documentation of nutrition problems first. Further information on the background, motivation and design of the reference set is available in the release notes of the SNOMED CT NCPT Reference Set. See available links below:

    Concepts follow the SNOMED naming conventions and the NCPT terms are often included in SNOMED CT as synonyms (when appropriate as preferred terms). NCPT concepts have been modeled in SNOMED CT according to the MRCM (). The Academy of Nutrition and Dietetics maintains an electronic NCPT manual that provides guidance on how to use terms in nutrition and dietetics practice (, subscription log-in required). In the electronic NCPT manual, terms are explained in reference sheets. Reference sheets for nutrition diagnoses provide a definition, common etiologies, and signs and symptoms (defining characteristics). A committee of subject matter experts from around the world has been developing and maintaining the Academy's NCPT since 2003. Terms and definitions have been submitted to SNOMED International as part of the agreement between the two organizations (SNOMED CT and the Academy of Nutrition and Dietetics).

    The following pages provide instructions for exploring the members of the NCPT Reference set.

    References

    Lloyd L, Swan WI, Jent S, Vivanti A, Pertel DG. Worldwide Release of SNOMED CT Nutrition Care Process Terminology Problem List. J Acad Nutr Diet. 2024 Apr;124(4):531-534.

    Swan WI, Vivanti A, Hakel-Smith NA, Hotson B, Orrevall Y, Trostler N, Beck Howarter K, Papoutsakis C. Nutrition Care Process and Model Update: Toward Realizing People-Centered Care and Outcomes Management. J Acad Nutr Diet. 2017 Dec;117:2003-14.

    Swan WI, Pertel DG, Hotson B, Lloyd L, Orrevall Y, Trostler N, Vivanti A, Howarter KB, Papoutsakis C. Nutrition Care Process (NCP) Update Part 2: Developing and Using the NCP Terminology to Demonstrate Efficacy of Nutrition Care and Related Outcomes. J Acad Nutr Diet. 2019 May;119:840-55.

    Lövestam E, Steiber A, Vivanti A, et al. Use of the Nutrition Care Process and Nutrition Care Process Terminology in an International Cohort Reported by an Online Survey Tool. J Acad Nutr Diet. Feb 2019;119(2):225-241. doi:10.1016/j.jand.2018.09.002

    Lövestam E, Vivanti A, Steiber A, et al. Barriers and enablers in the implementation of a standardised process for nutrition care: findings from a multinational survey of dietetic professionals in 10 countries. J Hum Nutr Diet. Jan 7 2020;doi:10.1111/jhn.12700

    Lövestam E, Vivanti A, Steiber A, et al. The International Nutrition Care Process and Terminology Implementation Survey: Towards a Global Evaluation Tool to Assess Individual Practitioner Implementation in Multiple Countries and Languages. J Acad Nutr Diet. Feb 2019;119(2):242-260. doi:10.1016/j.jand.2018.09.004

    Middeke J, Palmer K, Lövestam E, et al. Predictors of nutrition care process knowledge and use among dietitians internationally. J Hum Nutr Diet. Jun 2022;35(3):466-478. doi:10.1111/jhn.12961

    Explore Members of the SNOMED CT NCPT Reference Set

    Demonstration Video

    The following video shows how to view the members of the NCPT reference set using the SNOMED International SNOMED CT Browser. You can access the browser at browser.snomedtools.org.

    Step-by-step Instructions

    This step-by-step guide will show you how to view the members of the NCPT reference set using the SNOMED International SNOMED CT Browser.

    1. Open the SNOMED CT Browser ()

    2. Click "Go browsing...International Derivatives"

    3. Click "Refset"

    4. Scroll down the list to see the "Nutrition Care Process Terminology reference set" - then click this row

    5. Click "Members"

    6. Members are shown in the list

    Provide Feedback

    FHIR Resources for Nutrition Intervention

    Nutrition Intervention involves planning and implementing actions to address the nutrition diagnosis.

    Several FHIR resources can be used to document these interventions:

    • NutritionOrder Resource : Documents detailed nutrition care plans and orders.

    • NutritionProduct Resource: Documents foods, fluids and oral nutrition supplements provided to the patient.

    HL7 FHIR and NCPT

    The Nutrition Care Process Terminology (NCPT) can be effectively represented using (Health Level 7 Fast Healthcare Interoperability Resources), a standardized framework for healthcare data exchange that ensures consistent and interoperable documentation across various healthcare systems. Notably, standardized documentation of nutrition care using SNOMED CT is a crucial preliminary step, as structured data is more readily exchanged with the HL7 FHIR standard.

    The key components of the NCPT; Assessment, Diagnosis, Intervention, and Monitoring and Evaluation map to specific FHIR resources as follows:

    • Nutrition Assessment : The Observation, NutritionOrder, NutritionProduct, NutritionIntake, Condition, and ClinicalImpression resources capture dietary habits, anthropometric measurements, and test results, offering a comprehensive view of the patient’s nutritional status.

    Appendix A: How to Learn More

    What
    Why
    Where

    Explore the SNOMED CT NCPT Reference set

    Appendix D: Exception List
    SNOMED CT Nutrition Care Process Terminology (NCPT) Refset package Release Notes
    , 2024
    SNOMED CT Nutrition Care Process Terminology (NCPT) Refset package Release Notes, 2025
    Machine Readable Concept Model
    www.ncpro.org
    Explore Members of the SNOMED CT NCPT Reference Set
    Check if a Concept is Part of the SNOMED CT NCPT Reference Set
    Provide Feedback

    Procedure Resource : Records specific nutrition-related procedures and interventions.

  • CarePlan Resource : Provides a comprehensive plan of care that includes nutrition interventions.

  • Types of Data Collected
    Purpose
    Example
    FHIR Resource

    Food and Nutrient Delivery

    Document specific details of diets, oral supplements, or enteral/parenteral nutrition plans, including prescribed nutrition interventions.

    High-protein diet, Tube feeding with formula

    NutritionOrder, NutritionProduct

    Timing and Frequency

    This example demonstrates how the NutritionOrder resource can be used to document and manage dietary requirements, restrictions, and preferences for a patient. It illustrates a comprehensive cardiac diet order for an inpatient, including specific instructions, nutrient modifications, and food exclusions.

    Key features highlighted in this example:

    • Diet Type: Includes a low sodium diet and fluid-restricted diet to address cardiac health needs.

    • Nutrient Specifications: Details on limiting sodium intake to 2 grams per day and fluids to 1500 milliliters per day.

    • Allergies and Exclusions: Accounts for patient-specific allergies (e.g., cashew nuts) and excludes related food items.

    • Personalization: Modifiers for food preferences, such as dairy-free options, to cater to the patient’s dietary needs and preferences.

    • Instructions: Provides specific guidance on meal preparation and fluid allowances.

    This example is based on the official FHIR documentation and showcases how NutritionOrder supports structured, interoperable dietary management in healthcare.

    For more examples and detailed use cases, refer to the FHIR NutritionOrder documentation and FHIR NutritionOrder examples.

    Provide Feedback

    Nutrition Intervention Data and Associated FHIR Resources

    Nutrition Order
    {
    "resourceType" : "NutritionOrder",
    "id" : "cardiacdiet",
    "identifier" : [{
    "system" : "http://goodhealthhospital.org/nutrition-requests",
    "value" : "123"
    }],
    "status" : "active",
    "intent" : "order",
    "subject" : {
    "reference" : "Patient/example",
    "display" : "Peter Chalmers"
    },
    "encounter" : {
    "reference" : "Encounter/example",
    "display" : "Inpatient"
    },
    "dateTime" : "2014-09-17",
    "orderer" : {
    "reference" : "Practitioner/example",
    "display" : "Dr Adam Careful"
    },
    "allergyIntolerance" : [{
    "reference" : "AllergyIntolerance/example",
    "display" : "Cashew Nuts"
    }],
    "foodPreferenceModifier" : [{
    "coding" : [{
    "system" : "http://terminology.hl7.org/CodeSystem/diet",
    "code" : "dairy-free"
    }]
    }],
    "excludeFoodModifier" : [{
    "coding" : [{
    "system" : "http://snomed.info/sct",
    "code" : "227493005",
    "display" : "Cashew Nut"
    }]
    }],
    "oralDiet" : {
    "type" : [{
    "coding" : [{
    "system" : "http://snomed.info/sct",
    "code" : "386619000",
    "display" : "Low sodium diet"
    },
    {
    "system" : "http://goodhealthhospital.org/diet-type-codes",
    "code" : "1040",
    "display" : "Low Sodium Diet"
    }],
    "text" : "Low sodium diet"
    },
    {
    "coding" : [{
    "system" : "http://snomed.info/sct",
    "code" : "226208002",
    "display" : "Fluid restricted diet"
    },
    {
    "system" : "http://goodhealthhospital.org/diet-type-codes",
    "code" : "1040",
    "display" : "Fluid restricted diet"
    }],
    "text" : "Fluid restricted diet"
    }],
    "nutrient" : [{
    "modifier" : {
    "coding" : [{
    "system" : "http://snomed.info/sct",
    "code" : "39972003",
    "display" : "Sodium"
    }]
    },
    "amount" : {
    "value" : 2,
    "unit" : "grams",
    "system" : "http://unitsofmeasure.org",
    "code" : "g"
    }
    },
    {
    "modifier" : {
    "coding" : [{
    "system" : "http://snomed.info/sct",
    "code" : "33463005",
    "display" : "Fluid"
    }]
    },
    "amount" : {
    "value" : 1500,
    "unit" : "milliliter",
    "system" : "http://unitsofmeasure.org",
    "code" : "mL"
    }
    }],
    "instruction" : "Starting on 2/10 breakfast, maximum 400 ml fluids per meal"
    }
    }

    Examples

    Nutrition Order

    Nutrition Diagnosis: The Condition resource represents nutrition diagnoses, including specific problems, etiologies, and related signs and symptoms.

  • Nutrition Intervention: The NutritionOrder , NutritionProduct , Procedure , and CarePlan resources document detailed nutrition care plans, specific interventions, and strategies for managing nutrition-related issues.

  • Nutrition Monitoring and Evaluation: The Observation , Goal , Condition , and CarePlan resources are used to track ongoing measurements, monitor progress toward goals, update condition statuses, and review and adjust care plans as needed.

  • In the context of HL7 FHIR and SNOMED CT, terminology binding defines how clinical data elements are represented within FHIR resources. Each data element in a FHIR resource is linked to a specific value set, which dictates the permissible SNOMED CT codes or concepts for that element.

    For example, when recording a patient’s condition in a FHIR resource, the “code” field is bound to a specific SNOMED CT code that accurately represents the condition. This standardized approach ensures that healthcare providers and systems use consistent terminology to describe clinical information across different platforms and contexts.

    By adhering to these value sets, FHIR enables precise data exchange and a shared understanding of clinical data elements, enhancing interoperability, supporting efficient healthcare delivery, and contributing to improved patient outcomes.

    The following pages will provide detailed recommendations for terminology bindings between relevant FHIR resources and SNOMED CT value sets, specifically as they apply to representing the Nutrition Care Process Terminology (NCPT). Each section will outline the application of specific FHIR resources and bindings to support different NCPT components.

    • FHIR Resources for Nutrition Assessment and Reassessment

    • FHIR Resources for Nutrition Diagnosis

      • Terminology Bindings for Nutrition Diagnosis

    HL7 FHIR is a modern standard designed to facilitate the exchange of healthcare information electronically. The standard defines resources, i.e. data formats, that can be used to represent data elements in a systematic way across the healthcare continuum.

    • Consistency : With standardized resources and robust semantics, FHIR ensures uniformity in healthcare data representation. This consistency supports accurate data exchange and enables healthcare providers to make informed decisions based on reliable information, ultimately enhancing patient care quality.

    • Modularity : FHIR’s flexible architecture allows its resources to be used independently or in combination to meet specific healthcare needs. This modular approach supports adaptability across diverse healthcare contexts, enabling tailored solutions without overhauling entire systems.

    • Interoperability : FHIR facilitates seamless data exchange between different healthcare systems and applications, enhancing communication and collaboration among healthcare providers. By standardizing data formats and protocols such as RESTful APIs and JSON/XML, FHIR promotes interoperability, improving patient care coordination and information sharing.

    • Standardization : FHIR leverages contemporary web standards to ensure compatibility with existing IT infrastructures. By defining well-structured resources like Patient, Observation, and Medication with clear semantics, FHIR fosters consistency in how healthcare data is represented and interpreted across various systems.

    • Scalability : Designed to accommodate evolving healthcare requirements and technological advancements, FHIR is scalable for both current and future healthcare needs. Its flexible architecture and support for extensibility allow healthcare systems to grow and adapt without compromising interoperability or data integrity.

    HL7 FHIR plays a crucial role in linking healthcare data with standard terminologies, including SNOMED CT. By integrating FHIR with terminologies like SNOMED CT, a more precise and standardized documentation and communication of clinical information can be achieved. This linkage enhances interoperability by enabling seamless exchange of structured clinical data, supporting accurate clinical decision-making, and promoting continuity of care for patients across various healthcare settings.

    Together, FHIR and SNOMED CT facilitate a unified approach to healthcare information management, benefiting both vendors, healthcare providers and patients.

    Provide Feedback

    Resources and Terminology Bindings

    HL7 FHIR

    Recommendations and Detailed Applications

    What is FHIR?

    eLearning Courses

    To learn about SNOMED CT, its design and applications

    Diagramming Guideline

    To learn how to read the SNOMED CT concept diagrams

    Clinical Engagement

    To learn about SNOMED International's clinical engagement and related resources

    Nutrition and Dietetics Clinical Reference Group

    To learn about SNOMED International’s clinical reference group for Nutrition and Dietetics

    Discussion Forum for Nutrition and Dietetics Clinical Reference Group

    Professional discussions about the use of SNOMED CT for nutrition and dietetics

    Provide Feedback

    SNOMED CT Introductory Videos

    Why structured clinical data matters

    Video

    |ntroduction to using the SNOMED CT Browser (including details about design features and the SNOMED CT concept diagrams)

    browser.snomedtools.org

    FHIR Resources for Nutrition Diagnosis

    Nutrition Diagnosis identifies specific nutrition problems that can be addressed through interventions.

    Nutrition Diagnosis Data and Associated FHIR Resources

    The FHIR Condition resource is primarily used to represent nutrition diagnoses. It captures the nutrition diagnosis using structured data.

    • Problem : Represented by the condition code, often using SNOMED CT codes.

    • Etiology : Captured in the details or extensions of the Condition resource.

    • Signs/Symptoms : Documented as evidence within the Condition resource, referencing relevant Observation resources.

    Types of data collected
    Purpose
    Example
    FHIR Resource

    Clinical scenario

    This scenario involves a 55-year-old patient with a history of Type 2 diabetes mellitus, managed with medications and lifestyle adjustments. Recent symptoms include unintended weight loss, weakness, and swelling in the lower limbs. Clinical evaluation reveals signs of weight loss and muscle wasting, indicating possible malnutrition exacerbated by chronic diabetes management.

    Using FHIR resources, healthcare providers document these findings to support a structured approach to diagnosis and treatment planning.

    • The Condition Resource represents the nutrition diagnosis (Malnutrition) using a SNOMED CT code.

      • The evidence section of the Condition resource includes:

        • Etiology : Physiologic–Metabolic; Underlying chronic illness (Type 2 diabetes mellitus) as another Condition

    This resource represents the diagnosis of the nutritional disorder (malnutrition).

    This resource represents the underlying chronic condition contributing to the nutritional disorder.

    Here is a JSON representation of a condition resource detailing a chronic illness, Diabetes mellitus type 2:

    This resource uses standard coding systems to describe the clinical and verification statuses, as well as the specific type of diabetes being documented.

    This is referenced in the evidence section of the Condition resource, and referencing a condition or observation resource.

    This resource documents the presence of unintentional weight loss.

    Details:

    • Resource Type: Observation

    • ID: unintentional-weight-loss

    • Status: Final

    The following JSON represents an HL7 FHIR Observation for the symptom "Muscle Wasting":

    This resource indicates a clinical observation related to the presence of muscle atrophy (disorder) for a patient. The valueBoolean attribute confirms the observation is true.

    Linking the Resources

    • The Condition Resource for Nutritional Disorder references:

    • The Condition Resource for Type 2 Diabetes Mellitus in its evidence.detail array to represent the etiology.

    • The Observation Resources for unintentional weight loss and muscle atrophy to represent signs/symptoms.

    Deploying the NCPT Reference Set

    Introduction

    Effective use of the content of the Reference Set requires access to the content in ways that leverage the features of the terminology. A terminology service is a software function that interfaces with and provides access to information from one or more representations of a terminology.

    Different technical options are available for implementing terminology services, such as using a relational database, other database options (such as Graph databases ), or predefined services accessible via an API (for example, SNOMED International's Snowstorm).

    When deploying the NCPT reference set, it is important to decide on an appropriate approach. The choice will depend on factors such as the organization’s existing infrastructure, the complexity of integration, and the level of flexibility required. Whether opting for a local database solution or a cloud-based service, the decision should ensure efficient retrieval, updates, and management of the terminology content.

    Regardless of the technological platform chosen to deploy the Reference Set content, the process always involves importing a SNOMED CT Edition and the reference set in the server or database.

    Required Release Packages

    To load the NCPT reference set, the RF2 packages required are:

    • The latest version of the national release you have access to

      • For national extension packages, the corresponding international edition is also required (the version that the national extension is dependent on)

    • The latest version of the NCPT Release Package where the International Edition dependency is not newer than the version you are using.

    The NCPT (Nutrition Care Process Terminology) Reference Set is aligned with specific releases of the SNOMED CT International Edition. Each version of the NCPT Reference Set is released annually in April and is dependent on the January release of the International Edition.

    For users in a specific country or region, access to the descriptions of the reference set members, including translations, requires the use of the National Edition. The national extension may incorporate localized descriptions for the concepts referenced in the reference set, ensuring translations are available for use in the target language. Without the national extension, users will only have access to the descriptions provided in the International Edition.

    National Editions follow independent release cycles, which vary by country or member organization. Some National Editions are released monthly, others quarterly, and some biannually. SNOMED CT is designed to accommodate these variations in release schedules, with comprehensive history tracking to manage any discrepancies that arise due to differing update cycles.

    Example Scenario

    A National Edition is released in September and is based on the July release of the International Edition.

    At the same time, the NCPT Reference Set, dependent on the January International Edition, is required by implementations in this Member country.

    In this case, certain concepts within the International Edition that are referenced in the NCPT Reference Set may have been inactivated between the January and July releases.

    When the September National Edition is implemented alongside the April version of the NCPT Reference Set, this could result in references to inactive concepts.

    To address this, SNOMED CT’s design enables easy identification and resolution of any references to inactive concepts when updating to the new National Edition.

    This process ensures that the NCPT Reference Set remains consistent and operational across varying release cycles.

    You have two options:

    1. Use the Reference set as it is, accepting the risk that some of the components may refer to inactive concepts

    • Benefit : No need to spend time and resources on processing or updating the reference set before implementation. This approach allows for quicker deployment, reducing the upfront effort required. Additionally, SNOMED CT provides tools and workarounds, such as historical associations, to mitigate the impact of using inactive content.

    • Challenge : Risk of coding with concepts that are inactive in the current version of SNOMED CT

    1. Conduct a pre-implementation processing step to resolve any references to inactive concepts

    • Benefit : The reference set will be fully aligned with the version of SNOMED CT applied in the implementation

    • Challenge : Various requirements needs to be in place, including

      • Expertise knowledge on SNOMED CT

    Inactive concepts within the NCPT Reference Set do not present an obstacle for normal use. SNOMED CT provides tools to identify and manage these inactive concepts through Expression Constraint Language (ECL) queries.

    To locate references to inactive concepts within the NCPT Reference Set, you can use the following ECL:

    This ECL query identifies all concepts within the NCPT Reference Set that are currently inactive (`active = false`). This is useful when you need to review or manage concepts that are no longer active.

    If you prefer to work only with active concepts and exclude any that have been inactivated, you can use the inverse ECL:

    This query returns only those concepts within the NCPT Reference Set that are currently active (`active = true`). It ensures that you are working with concepts that are up-to-date and valid according to the latest standards.

    Additionally, if you need to combine this selection with a hierarchy selection, such as selecting only those concepts within a specific clinical hierarchy, you can do so while ensuring all results are active.

    For example, if you are only interested in active concepts within the "Clinical finding" hierarchy, the ECL would be:

    This combined ECL query retrieves all active concepts in the NCPT Reference Set that fall within the "Clinical finding" hierarchy, ensuring that your results are both relevant and current.

    Appendix C: International Standards and Resources

    International Standards and Resources

    • International Patient Summary (IPS)

      • Essential medical information for unplanned, cross border medical care. Allergies and intolerances, medications, medical devices (feeding pumps, central lines). To be implemented in 2025. Refugees with food insecurity or malnutrition(undernutrition).

    • European Patient Summary

      • Essential medical information for unplanned medical care within the EU. Internally displaced persons with food insecurity or malnutrition (undernutrition).

    • pan-Canadian Patient Summary Specification (PS-CA)

      • Essential medical information for unplanned medical care within Canada.

    • Korean CDA Implementation Guide (K-CDA IG)

      • Adapted HL7 CDA standards to meet needs of the local healthcare system.

      • Jung S, Bae S, Seong D, Yi B. Standard Document Development for Health Information Exchange in Korea. Appl Clin Info 13:3, 592-601, 2022.

    • HL7

      • FHIR, relationship described in Section 5

      • HL7 Domain Analysis Model for Nutrition Care Release 3, Universal Realm

    • Consolidated Clinical Documentation Architecture (C-CDA)

      • HL7 CDA® R2 Implementation Guide: C-CDA R2.1 Supplemental Templates for Nutrition, US Realm

    • Value Set Authority Center (VSAC), National Institutes of Health, National Library of Medicine

    Specify schedules for meals, oral supplements (e.g., protein shakes), or other forms of nutrition support.

    TPN daily at night, Supplements twice daily

    NutritionOrder

    Nutrition Counseling

    Capture details of counseling sessions and educational interventions to improve nutrition knowledge or behavior.

    Nutrition education session on diabetic diet

    Procedure

    Feeding Tube Placement

    Record details of procedures related to the placement of feeding tubes for enteral nutrition support.

    Placement of nasogastric feeding tube

    Procedure

    Goals and Objectives

    Outline specific, measurable nutrition-related goals that guide the overall care plan.

    Increase weight by 2 kg in 1 month

    CarePlan

    Activities and Interventions

    Coordinate actions such as administering supplements, monitoring tube feeding, or adjusting dietary plans as needed.

    Administer supplements, Monitor tube feeding

    CarePlan

    FHIR Resources for Nutrition Intervention
    FHIR Resources for Nutrition Monitoring and Evaluation
    HL7 EHR-System Electronic Nutrition Care Process Record System (ENCPRS) Functional Profile Release 2, Universal Realm
  • HL7 Version 3 Care Provision - Nutrition and Drug Preferences, Universal Realm

  • Approximately 34 sets of SNOMED CT terms that support documentation of a nutrition professional's encounter using NCP. Also supports FHIR Resources

  • Assistant Secretary for Technology Policy/Office of National Coordinator for Health Information Technology (ASTP/ONC), Department of Health and Human Services

    • United States Core Data for Interoperability (USCDI)

    • Allergies and intolerances, Height and Weight with BMI, problem list, progress notes, medications, discharge summary. Additional nutrition content (enteral nutrition, MNT) has been proposed.

  • Centers for Medicare and Medicaid (CMS)

  • Electronic Quality Measures (eCQM)

    • Malnutrition Care Score (MCS)

      • Screening for malnutrition completed, assessment by dietitian completed in a timely manner, provider diagnosis based on dietitian's and their examination, care plan

      • Supported by a number of VSAC value sets

  • US Standards and Resources

    Provide Feedback
    Video
    snomed.org/courses
    snomed.org/diagram
    snomed.org/clinical
    Nutrition and Dietetics Clinical Reference Group
    Discussion Forum

    Malnutrition

    Condition

    Etiology

    Details the cause or contributing factors for the diagnosis

    Physical Function, Social-personal

    Condition

    Signs/symptoms

    Documents observable signs or symptoms that support the diagnosis

    Documented as evidence within the Condition resource, referencing relevant Observation resources.

    Unintended weight loss, muscle wasting

    Observation

    Condition

    resource.
  • Signs/Symptoms : Unintended weight loss and Muscle wasting, which are represented as Observation resources linked to the condition. These observations document the presence of each symptom (Boolean value true).

  • Category: Clinical
  • Code: 448765001 - Unintentional weight loss (finding)

  • Subject Reference: Patient/example

  • Symptom Presence: True

  • All resources reference the same patient (Patient/example) for proper linkage and context.

    Diagnosis

    Problem

    Example: Nutrition Diagnosis with Etiology

    Diagnosis (Problem): Malnutrition

    Etiology (Cause)

    Underlying Chronic Illness, Diabetes Mellitus :

    Condition Resource for Underlying Chronic Illness

    Signs/Symptoms : Unintentional Weight Loss

    Unintentional Weight Loss

    Observation Resource: Symptom - Weight Loss

    Signs/Symptoms: Muscle wasting

    Observation Resource: Muscle Wasting

    Provide Feedback

    Represents the primary nutrition-related problem using a condition code

    The release notes accompanying the NCPT release package include a chapter titled ‘Versions,’ which details the International Edition dependency of the current release package.

    Services supporting the identification of proposed replacements (see section below)
  • Services to publish the updated reference set

  • Understanding Releases and Dependencies

    Implementation Considerations

    This approach is commonly adopted by most implementations because it offers easy deployment, and SNOMED CT provides workarounds for using inactive content, such as historical associations. The key recommendation is to consistently apply the latest version of the published reference set. This ensures that the reference set’s content remains aligned with a more recent version of the International Edition, preventing it from becoming outdated.

    Managing References to Inactive Concepts

    Provide Feedback
    {
      "resourceType": "Condition",
      "id": "nutritional-disorder",
      "clinicalStatus": {
        "coding": [
          {
            "system": "http://terminology.hl7.org/CodeSystem/condition-clinical",
            "code": "active",
            "display": "Active"
          }
        ]
      },
      "verificationStatus": {
        "coding": [
          {
            "system": "http://terminology.hl7.org/CodeSystem/condition-ver-status",
            "code": "confirmed",
            "display": "Confirmed"
          }
        ]
      },
      "code": {
        "coding": [
          {
            "system": "http://snomed.info/sct",
            "code": "2492009",
            "display": "Nutritional disorder (disorder)"
          }
        ]
      },
      "subject": {
        "reference": "Patient/example"
      },
      "evidence": [
        {
          "detail": [
            {
              "reference": "Condition/diabetes"
            },
            {
              "reference": "Observation/weight-loss"
            },
            {
              "reference": "Observation/muscle-atrophy"
            }
          ]
        }
      ]
    }
    {
      "resourceType": "Condition",
      "id": "diabetes",
      "clinicalStatus": {
        "coding": [
          {
            "system": "http://terminology.hl7.org/CodeSystem/condition-clinical",
            "code": "active",
            "display": "Active"
          }
        ]
      },
      "verificationStatus": {
        "coding": [
          {
            "system": "http://terminology.hl7.org/CodeSystem/condition-ver-status",
            "code": "confirmed",
            "display": "Confirmed"
          }
        ]
      },
      "code": {
        "coding": [
          {
            "system": "http://snomed.info/sct",
            "code": "44054006",
            "display": "Diabetes mellitus type 2 (disorder)"
          }
        ]
      },
      "subject": {
        "reference": "Patient/example"
      }
    }
    {
      "resourceType": "Observation",
      "id": "unintentional-weight-loss",
      "status": "final",
      "category": [
        {
          "coding": [
            {
              "system": "http://terminology.hl7.org/CodeSystem/observation-category",
              "code": "clinical",
              "display": "Clinical"
            }
          ]
        }
      ],
      "code": {
        "coding": [
          {
            "system": "http://snomed.info/sct",
            "code": "448765001",
            "display": "Unintentional weight loss (finding)"
          }
        ]
      },
      "subject": {
        "reference": "Patient/example"
      },
      "valueBoolean": true
    }
    {
      "resourceType": "Observation",
      "id": "muscle-atrophy",
      "status": "final",
      "category": [
        {
          "coding": [
            {
              "system": "http://terminology.hl7.org/CodeSystem/observation-category",
              "code": "clinical",
              "display": "Clinical"
            }
          ]
        }
      ],
      "code": {
        "coding": [
          {
            "system": "http://snomed.info/sct",
            "code": "88092000",
            "display": "Muscle atrophy (disorder)"
          }
        ]
      },
      "subject": {
        "reference": "Patient/example"
      },
      "valueBoolean": true
    }
    ^ 1303957004 |NCPT (Nutrition Care Process Terminology) reference set| {{C active=0}}
    ^ 1303957004 |NCPT (Nutrition Care Process Terminology) reference set| {{C active=1}}
    ^ 1303957004 |NCPT (Nutrition Care Process Terminology) AND << 404684003 |Clinical finding (finding)|

    Translating Reference Set Members

    The translation of reference set members involves creating meaningful and linguistically appropriate descriptions for the concepts referenced by the subset. These descriptions are added within the national extension of SNOMED CT, ensuring that healthcare professionals can understand and use the terminology effectively in their local language and clinical context.

    Creating Descriptions for Referenced Concepts

    The reference set itself does not contain descriptions but instead includes references to specific SNOMED CT concepts.

    Translating reference set members involve:

    1. Adding Descriptions for Referenced Concepts:

      • For each concept in the reference set, create one or more descriptions for the concept in the target language.

      • These descriptions ensure that the clinical intent of each concept is clear and usable by healthcare professionals in the target region.

    2. Maintaining Semantic Integrity:

      • Ensure that the translated descriptions accurately reflect the original meaning of the concepts while using natural language familiar to the target audience.

    3. Integration into the National Extension:

      • The translated descriptions are added to the national extension of SNOMED CT, which incorporates the localized content while maintaining alignment with the International Edition.

    The translation process should be conducted in collaboration with the National Release Center (NRC) to:

    • Ensure Consistency Across Extensions: Work with the NRC to maintain consistent translations across the national extension, avoiding discrepancies between reference sets and other SNOMED CT components.

    • Leverage Expertise: Utilize the NRC’s access to clinical, linguistic, and terminological experts to validate the quality and usability of the translations.

    • Support Updates: Coordinate with the NRC to integrate translated descriptions into the national extension and manage updates as SNOMED CT evolves.

    • Enhanced Usability: Descriptions in the local language make the reference set more accessible to healthcare professionals.

    • Improved Data Quality: Localized descriptions reduce the risk of misinterpretation and improve the accuracy of clinical documentation.

    • Alignment with National Standards: Ensures the reference set reflects local healthcare practices and terminologies.

    • Sweden, contains diagnostic terms, release November 2024

    More information

    Overview of Members and contact details:

    Translation Guidance and principles:

    Collaboration with the National Release Center

    Benefit s of Translating Referenced Concepts

    Translations of SNOMED CT NCPT Reference Set

    https://www.snomed.org/members
    https://www.implementation.snomed.org/translation
    Provide Feedback

    Appendix B: Glossary of Terms

    General SNOMED CT Glossary

    Term
    Explanation
    Description

    Academy

    Academy of Nutrition and Dietetics

    World's largest association of food and nutrition professionals headquartered in Chicago, Illinois

    BMI

    Body Mass Index

    Weight in kg/height in meters squared - typically used as measure of weight status

    CDA

    Clinical Documentation Architecture

    HL7 markup standard which specifies structure and semantics of electronic clinical documents

    C-CDA

    Consolidated Clinical Documentation Architecture

    An HL7 library of CDA formatted documents

    CDS

    Clinical Decision Support

    Electronic health information to help inform decisions about a patient's care

    CMS

    Centers for Medicare and Medicaid Services

    An organizational unit of the US federal government's Department of Health and Human Services which assures healthcare to elderly and underserved populations

    CRG

    Clinical Reference Group

    Clinical engagement structure in SNOMED CT,

    EHR

    Electronic Health Record

    The electronic, digitized version of a patients paper medical record

    ENCPRS

    Electronic Nutrition Care Process Record System

    EU

    European Union

    Supranational economic and political union of twenty-seven European countries and their territories

    FHIR

    Fast Healthcare Interoperability Resources

    HL7 standard for exchanging health information electronically

    HIE

    Health Information Exchange

    Allows health care professionals and patients to appropriately access and securely share medical information electronically

    HL7

    Health Level Seven International

    "a not-for-profit, ANSI-accredited standards developing organization dedicated to providing a comprehensive framework and related standards for the exchange, integration, sharing and retrieval of electronic health information that supports clinical practice and the management, delivery and evaluation of health services."

    HbA1C

    Hemoglobin A1C, glycosylated hemoglobin

    Blood test used to assess blood glucose control over preceding 2-3 months

    IBD

    Irritable Bowel Disease

    Lifelong disease that affects the intestines

    IPS

    International Patient Summary

    The International Patient Summary is a minimal and non-exhaustive set of basic clinical data of a patient, specialty-agnostic, condition-independent, but readily usable by all clinicians for the unscheduled (cross-border) patient care.

    K-CDA IG

    Korean Clinical Documentation Architecture Implementation Guide

    An example of adaptation of HL7 CDA to meet social and cultural HIE needs of a country

    NCP

    Nutrition Care Process

    Systematic method that dietetics and nutrition professionals use to provide nutrition care. Fully described in .

    NCPM

    Nutrition Care Process Model

    Illustrated in

    NCPT

    Nutrition Care Process Terminology

    Terms which support the NCP as described in

    PS-CA

    Pan-Canadian Patient Summary

    Canadian adaptation of the IPS concept

    SDO

    Standards Development Organization

    ISO (International Organization for Standardization, ) and ANSI (American National Standards Institute, ) are examples of SDOs. HL7 is ANSI accredited.

    SIG

    Special Interest Group

    A former name for SNOMED CT's current Clinical Reference Groups (CRGs)

    USCDI

    United States Core Data for Interoperability

    A standardized set of health data classes and constituent data elements for nationwide, interoperable health information exchange,

    VSAC

    Value Set Authority Center

    A repository and authoring tool for public value sets created by external programs. Value sets are lists of codes and corresponding terms, from (such as SNOMED CT®, RxNorm, LOINC® and others), that define clinical concepts to support effective and interoperable health information exchange.

    Provide Feedback
    Introduction - Clinical Reference Groups
    https://www.standict.eu/standards-repository/hl7-ehr-system-electronic-nutrition-care-process-record-system-encprs
    link
    https://www.hl7.org/
    https://international-patient-summary.net/
    What is NCP and NCPT?
    What is NCP and NCPT?
    What is NCP and NCPT?
    https://www.iso.org/home.html
    https://www.ansi.org/
    https://www.healthit.gov/isp/united-states-core-data-interoperability-uscdi
    NLM-hosted standard clinical vocabularies
    https://vsac.nlm.nih.gov/
    Embed guidde videoembed.app.guidde.com
    Logo
    View simple type reference sets

    FHIR Resources for Nutrition Monitoring and Evaluation

    Nutrition Monitoring and Evaluation involve tracking the patient's progress and the outcomes of nutrition interventions.

    Nutrition Monitoring and Evaluation

    Nutrition Monitoring and Evaluation involve tracking the patient's progress and the outcomes of nutrition interventions.

    Nutrition Monitoring and Evaluation Data and Associated FHIR Resources

    FHIR resources used for this purpose include:

    • Observation Resource : Continues to be crucial for ongoing measurements and assessments.

    • NutritionIntake Resource : Details about the consumption of foods (i.e., solid and/or liquid), supplements, enteral nutrition, and infant formula.

    • NutritionProduct Resource: Identification of a food (i.e., solid and/or liquid) product provided to patients.

    • Goal Resource : Tracks specific nutrition-related goals and their outcomes.

    • Condition Resource : Updated to reflect changes in the patient’s condition as a result of interventions.

    • CarePlan Resource : Monitors and evaluates the overall care plan, adjusting interventions as needed.

    Types of data collected
    Purpose
    Example
    FHIR Resource

    Weekly progress report on dietary changes

    Observation

    Outcome Tracking

    Monitors progress towards achieving specific nutrition-related goals

    Goal: Reduce BMI to 22 within 3 months

    Goal

    Status Updates

    Documents changes in the status of the nutrition diagnosis

    Condition improved from malnutrition to stable

    Condition

    Plan Review and Adjustment

    Reviews the care plan, documenting changes and updates

    Adjusted diet plan due to weight gain

    CarePlan

    Monitoring Parameters

    Tracks ongoing measurements like weight, BMI, lab values, dietary intake

    Weight: 70 kg, BMI: 25, Daily calorie intake

    ObservationNutritionIntakeNutritionProduct

    Progress Notes

    Provide Feedback

    Provides regular updates on the patient’s status

    Click 'Go browsing...International Derivatives'
    Click 'Go browsing...International Derivatives'
    Click 'Refsets'
    Observable Entity Defining Attributes
    Clinical Finding Defining Attributes
    Procedure Defining Attributes
    Embed guidde videoembed.app.guidde.com
    Logo
    Click 'Refset'

    Appendix D: Exception List

    Purpose

    This appendix documents all SNOMED CT concept additions, remaps, semantic tag updates, international extension substitutions, and omissions that differ from the 2020 NCPT baseline release.

    The appendix reflects changes introduced in:

    • April 2025 NCPT Refset release

    • April 2026 NCPT Refset release

    The purpose is to support:

    • implementation migration from legacy 2020 NCPT mappings

    • terminology governance review

    • analytics and reporting refset maintenance

    • EHR build validation

    The following summarizes the delta from the 2020 NCPT baseline.

    Release
    Scope
    Net Change Summary

    Different from the 2020 version of NCPT and included in the 2025 NCPT Refset Release

    2025 SNOMED ID (Refset)
    2025 SNOMED FSN (Refset)
    Change Status
    NCPT Domain

    interoperability regression testing

  • auditability of NCPT concept evolution

  • 57669007

    Increased metabolic requirement (finding)

    Changed - New 2023

    D

    878789008

    Inadequate intake of energy (finding)

    Changed - New 2023

    D

    707847004

    Imbalance of nutrient intake (finding)

    Changed - Remapped

    D

    1141825006

    Composition of nutritional intake of amino acid inconsistent with requirement (finding)

    Changed - New 2023

    D

    700361001

    Predicted inadequate nutrient intake (finding)

    Changed - Remapped

    D

    700360000

    Predicted excessive nutrient intake (finding)

    Changed - Remapped

    D

    772791006

    Sarcopenia (disorder)

    Changed - New 2023

    D

    414916001

    Obesity (disorder)

    Changed - New 2023

    D

    54840006

    Failure to thrive (disorder)

    Changed - New 2023

    D

    1149369006

    Deficient knowledge of food and/or nutrition (finding)

    Changed - New 2023

    D

    1251556002

    Belief that hinders food and/or nutrition behavior change (finding)

    Changed - Remapped

    D

    1149231004

    Absence of readiness for nutrition behavior change (situation)

    Changed - Remapped

    D

    1149230003

    Able to adhere to self-monitoring regimen with difficulty (finding)

    Changed - Remapped

    D

    304900007

    Difficulty complying with treatment (finding)

    Changed - Remapped

    D

    441941000124104

    Limited food acceptance (finding)

    Changed - Remapped

    D

    1149289005

    Able to perform food and/or nutrition skill with difficulty (finding)

    Changed - New 2023

    D

    1251555003

    Attitude that hinders food and/or nutrition behavior change (finding)

    Changed - New 2023

    D

    286457005

    Difficulty preparing food for eating (finding)

    Changed - Remapped

    D

    1351729002

    Low food and/or nutrition quality of life (finding)

    Changed - Remapped

    D

    733423003

    Food insecurity (finding)

    Changed - Remapped

    D

    1163267006

    Able to access potable water with difficulty (finding)

    Changed - New 2023

    D

    1163268001

    Absence of nutrition problem (situation)

    Changed - New 2023

    D

    1279742004

    Development of nutrition care plan (procedure)

    Changed - Remapped

    I

    386372009

    Nutrition management (procedure)

    Changed - New 2023

    I

    410172000

    Nutrition care management (procedure)

    Changed - New 2023

    I

    386373004

    Nutrition therapy (regime/therapy)

    Changed - New 2023

    I

    410175003

    Dietary regime management (procedure)

    Changed - New 2023

    I

    765021002

    Vegetarian diet (regime/therapy)

    Changed - New 2023

    I

    1255166007

    Pescovegetarian diet (regime/therapy)

    Changed - New 2023

    I

    765023004

    Lacto-ovo-vegetarian diet (regime/therapy)

    Changed - New 2023

    I

    765022009

    Lacto-vegetarian diet (regime/therapy)

    Changed - New 2023

    I

    1255167003

    Ovo vegetarian diet (regime/therapy)

    Changed - New 2023

    I

    1255165006

    Vegan diet (regime/therapy)

    Changed - New 2023

    I

    1255164005

    Halal diet (regime/therapy)

    Changed - New 2023

    I

    765025006

    Kosher diet (regime/therapy)

    Changed - New 2023

    I

    1255163004

    Mediterranean diet (regime/therapy)

    Changed - New 2023

    I

    1255826006

    International Dysphagia Diet Standardisation Initiative Framework - Regular Level 7 food (regime/therapy)

    Changed - New 2023

    I

    1255818003

    International Dysphagia Diet Standardisation Initiative Framework - Easy to Chew Level 7 food (regime/therapy)

    Changed - New 2023

    I

    1255829004

    International Dysphagia Diet Standardisation Initiative Framework - Soft and Bite Sized Level 6 food (regime/therapy)

    Changed - New 2023

    I

    1255823003

    International Dysphagia Diet Standardisation Initiative Framework - Minced and Moist Level 5 food (regime/therapy)

    Changed - New 2023

    I

    1255825005

    International Dysphagia Diet Standardisation Initiative Framework - Pureed Level 4 food (regime/therapy)

    Changed - New 2023

    I

    1255820000

    International Dysphagia Diet Standardisation Initiative Framework - Extremely Thick Level 4 drinks (regime/therapy)

    Changed - New 2023

    I

    1255821001

    International Dysphagia Diet Standardisation Initiative Framework - Liquidized Level 3 food (regime/therapy)

    Changed - New 2023

    I

    1255824009

    International Dysphagia Diet Standardisation Initiative Framework - Moderately Thick Level 3 drinks (regime/therapy)

    Changed - New 2023

    I

    1255822008

    International Dysphagia Diet Standardisation Initiative Framework - Mildly Thick Level 2 drinks (regime/therapy)

    Changed - New 2023

    I

    1255828007

    International Dysphagia Diet Standardisation Initiative Framework - Slightly Thick Level 1 drinks (regime/therapy)

    Changed - New 2023

    I

    1259967009

    International Dysphagia Diet Standardisation Initiative Framework - Thin Level 0 drinks (regime/therapy)

    Changed - New 2023

    I

    1148502009

    Phenylalanine modified diet (regime/therapy)

    Changed - New 2023

    I

    1148501002

    Increased phenylalanine diet (regime/therapy)

    Changed - New 2023

    I

    1148495004

    Increased complex carbohydrate diet (regime/therapy)

    Changed - New 2023

    I

    1148497007

    Increased simple carbohydrate diet (regime/therapy)

    Changed - New 2023

    I

    1148496003

    Decreased complex carbohydrate diet (regime/therapy)

    Changed - New 2023

    I

    1148499005

    Decreased simple carbohydrate diet (regime/therapy)

    Changed - New 2023

    I

    1137465007

    Increased galactose diet (regime/therapy)

    Changed - New 2023

    I

    1141680002

    Increased lactose diet (regime/therapy)

    Changed - New 2023

    I

    1141683000

    Fructose modified diet (regime/therapy)

    Changed - New 2023

    I

    1141684006

    Increased fructose diet (regime/therapy)

    Changed - New 2023

    I

    765053006

    Low fructose diet (regime/therapy)

    Changed - New 2023

    I

    1255162009

    Carbohydrate counting diet (regime/therapy)

    Changed - New 2023

    I

    1255142001

    Fermentable oligosaccharide, disaccharide, monosaccharide and polyol modified diet (regime/therapy)

    Changed - New 2023

    I

    1255144000

    Low fermentable oligosaccharide, disaccharide, monosaccharide and polyol diet (regime/therapy)

    Changed - New 2023

    I

    1255145004

    Fermentable oligosaccharide, disaccharide, monosaccharide and polyol reintroduction diet (regime/therapy)

    Changed - New 2023

    I

    1255146003

    Customized fermentable oligosaccharide, disaccharide, monosaccharide and polyol diet (regime/therapy)

    Changed - New 2023

    I

    1142126006

    Increased linoleic acid diet (regime/therapy)

    Changed - New 2023

    I

    1142125005

    Decreased linoleic acid diet (regime/therapy)

    Changed - New 2023

    I

    1142127002

    N-3 fatty acid modified diet (regime/therapy)

    Changed - New 2023

    I

    1142131008

    Increased N-3 fatty acid diet (regime/therapy)

    Changed - New 2023

    I

    1142165009

    Increased linolenic acid diet (regime/therapy)

    Changed - New 2023

    I

    1142166005

    Increased eicosapentaenoic acid diet (regime/therapy)

    Changed - New 2023

    I

    1142167001

    Increased docosahexaenoic acid diet (regime/therapy)

    Changed - New 2023

    I

    1142129004

    Decreased N-3 fatty acid diet (regime/therapy)

    Changed - New 2023

    I

    1142162007

    Decreased linolenic acid diet (regime/therapy)

    Changed - New 2023

    I

    1142163002

    Decreased eicosapentaenoic acid diet (regime/therapy)

    Changed - New 2023

    I

    1142164008

    Decreased docosahexaenoic acid diet (regime/therapy)

    Changed - New 2023

    I

    1142128007

    Medium chain triglyceride modified diet (regime/therapy)

    Changed - New 2023

    I

    1142133006

    Increased medium chain triglyceride diet (regime/therapy)

    Changed - New 2023

    I

    1142132001

    Decreased medium chain triglyceride diet (regime/therapy)

    Changed - New 2023

    I

    1255224004

    Beef free diet (regime/therapy)

    Changed - New 2023

    I

    1254992009

    Caffeine free diet (regime/therapy)

    Changed - New 2023

    I

    1255223005

    Cow milk free diet (regime/therapy)

    Changed - New 2023

    I

    1230138008

    Diet modified for low protein medical food (regime/therapy)

    Changed - New 2023

    I

    1162724005

    Modified egg diet (regime/therapy)

    Changed - New 2023

    I

    1162725006

    Raw egg free diet (regime/therapy)

    Changed - New 2023

    I

    1254995006

    Egg free diet (regime/therapy)

    Changed - New 2023

    I

    1230134005

    Diet modified for uncooked food starch (regime/therapy)

    Changed - New 2023

    I

    1254999000

    Fish free diet (regime/therapy)

    Changed - New 2023

    I

    1255228001

    Goat milk free diet (regime/therapy)

    Changed - New 2023

    I

    1254993004

    Lupin free diet (regime/therapy)

    Changed - New 2023

    I

    1254994005

    Mammalian meat free diet (regime/therapy)

    Changed - New 2023

    I

    1255227006

    Mammalian milk free diet (regime/therapy)

    Changed - New 2023

    I

    1255003003

    Peanut free diet (regime/therapy)

    Changed - New 2023

    I

    1255226002

    Pork free diet (regime/therapy)

    Changed - New 2023

    I

    1254998008

    Sesame free diet (regime/therapy)

    Changed - New 2023

    I

    1255225003

    Sheep milk free diet (regime/therapy)

    Changed - New 2023

    I

    1255002008

    Shellfish free diet (regime/therapy)

    Changed - New 2023

    I

    1255001001

    Soy free diet (regime/therapy)

    Changed - New 2023

    I

    1254996007

    Tree nut free diet (regime/therapy)

    Changed - New 2023

    I

    404919001

    Provision of wheat-free diet (regime/therapy)

    Changed - New 2023

    I

    1162726007

    Modified fruit diet (regime/therapy)

    Changed - New 2023

    I

    1162721002

    Modified vegetable diet (regime/therapy)

    Changed - New 2023

    I

    1255389008

    Starchy vegetable modified diet (regime/therapy)

    Changed - New 2023

    I

    1255388000

    Bean and pea modified diet (regime/therapy)

    Changed - New 2023

    I

    1162720001

    Modified grain diet (regime/therapy)

    Changed - New 2023

    I

    1162722009

    Modified protein food diet (regime/therapy)

    Changed - New 2023

    I

    1255386001

    Decreased oxalate diet (regime/therapy)

    Changed - New 2023

    I

    1255387005

    Low microbial diet (regime/therapy)

    Changed - New 2023

    I

    422972009

    Advance diet as tolerated (regime/therapy)

    Changed - New 2023

    I

    182923009

    Nil by mouth (regime/therapy)

    Changed - New 2023

    I

    1162729000

    Modification of nutrition intake schedule to limit fasting (regime/therapy)

    Changed - New 2023

    I

    229912004

    Enteral feeding (regime/therapy)

    Changed - Remapped

    I

    1162733007

    Management of volume of parenteral nutrition (procedure)

    Changed - New 2023

    I

    1163248007

    Purpose of medical food supplement therapy (observable entity)

    Changed - New 2023

    1163376001

    Management of infant feeding (procedure)

    Changed - New 2023

    1163377005

    Breast milk feeding management (procedure)

    Changed - New 2023

    I

    1163380006

    Management of concentration of breast milk (procedure)

    Changed - New 2023

    I

    1163382003

    Management of human milk fortifier in breastmilk (procedure)

    Changed - New 2023

    I

    1163381005

    Management of modular carbohydrate formula component in breastmilk (procedure)

    Changed - New 2023

    I

    1163383008

    Management of modular lipid formula component in breastmilk (procedure)

    Changed - New 2023

    I

    1163385001

    Management of modular protein formula component in breastmilk (procedure)

    Changed - New 2023

    I

    1163386000

    Management of modular plant fiber formula component in breastmilk (procedure)

    Changed - New 2023

    I

    1163384002

    Management of infant formula in breastmilk (procedure)

    Changed - New 2023

    I

    440626008

    Procedure related to breastfeeding (procedure)

    Changed - New 2023

    I

    1163379008

    Management of volume of breast milk (procedure)

    Changed - New 2023

    I

    709261005

    Assessment of breastfeeding (procedure)

    Changed - New 2023

    I

    711082003

    Assessment of breastfeeding behavior (procedure)

    Changed - New 2023

    I

    1163376001

    Management of infant feeding (procedure)

    Changed - New 2023

    I

    1172362009

    Management of composition of infant formula (procedure)

    Changed - New 2023

    I

    1172365006

    Management of concentration of infant formula (procedure)

    Changed - New 2023

    I

    1172368008

    Management of human milk fortifier in infant formula (procedure)

    Changed - New 2023

    I

    1172367003

    Management of modular carbohydrate formula component in infant formula (procedure)

    Changed - New 2023

    I

    1172369000

    Management of modular lipid formula component in infant formula (procedure)

    Changed - New 2023

    I

    1172364005

    Management of modular protein formula component in infant formula (procedure)

    Changed - New 2023

    I

    1172363004

    Management of modular fiber formula component in infant formula (procedure)

    Changed - New 2023

    I

    1172361002

    Management of infant formula feedings in 24 hours (procedure)

    Changed - New 2023

    I

    1172360001

    Management of volume of infant formula (procedure)

    Changed - New 2023

    I

    1172955008

    Evaluation of infant formula feeding plan (procedure)

    Changed - New 2023

    I

    1172954007

    Evaluation of infant formula feeding (procedure)

    Changed - New 2023

    I

    1172956009

    Evaluation of infant formula feeding behavior (procedure)

    Changed - New 2023

    I

    1230141004

    Education about nutrition influence on health (procedure)

    Changed - New 2023

    I

    441041000124100

    Counseling about nutrition (regime/therapy)

    Changed - Semantic Tag

    I

    306354000

    Referral to hospital-based dietitian (procedure)

    Changed - New 2023

    I

    306165000

    Referral to hospital-based dietetics service (procedure)

    Changed - New 2023

    I

    276339004

    Environment (environment)

    Changed - New 2023

    I

    272497004

    Residential environment (environment)

    Changed - New 2023

    I

    257698009

    School (environment)

    Changed - New 2023

    I

    285141008

    Work environment (environment)

    Changed - New 2023

    I

    257657002

    Recreational facility (environment)

    Changed - New 2023

    I

    284443006

    Service area premises (environment)

    Changed - New 2023

    I

    264308002

    Government building (environment)

    Changed - New 2023

    I

    285202004

    Community environment (environment)

    Changed - New 2023

    I

    35971002

    Ambulatory care site (environment)

    Changed - New 2023

    I

    25711000087100

    Assisted living facility (environment)

    Changed - New 2023

    I

    288573005

    Community health care environment (environment)

    Changed - New 2023

    I

    66280005

    Private home-based care (environment)

    Changed - New 2023

    I

    25731000087105

    Inpatient acute care environment (environment)

    Changed - New 2023

    I

    25771000087107

    Inpatient rehabilitation environment (environment)

    Changed - New 2023

    I

    42665001

    Nursing home (environment)

    Changed - New 2023

    I

    440655000

    Outpatient environment (environment)

    Changed - New 2023

    I

    67190003

    Free-standing clinic (environment)

    Changed - New 2023

    I

    45618002

    Skilled nursing facility (environment)

    Changed - New 2023

    I

    699823003

    Provision of written information (procedure)

    Changed - New 2023

    I

    Different from the 2020 version of NCPT and included in the 2026 NCPT Refset Release

    2026 SNOMED ID (Refset)
    2026 SNOMED FSN (Refset)
    Change Status
    NCPT Domain

    1208605003

    Estimated quantity of intake of energy (observable entity)

    Changed - New 2023

    Concepts inactivated in the NCPT Reference Set either due to changes to NCPT or SNOMED CT version changes.

    SNOMED ID (2020)
    SNOMED FSN (2020)
    SNOMED ID (2023)
    SNOMED FSN (2023)
    NCPT Domain
    Reason

    April 2025

    Diagnosis + Intervention concepts

    139 interventions, 23 diagnoses added, 6 concepts omitted

    April 2026

    Assessment, Monitoring, and Evaluation concepts New Diagnosis + Intervention concepts

    Concepts added:

    • 497 assessment (1 omitted)

    • 1 intervention

    • 2 diagnoses

    300893006

    Nutritional finding (finding)

    Changed - Remapped

    Release Summary

    Download

    Exception List Details

    2026NCPTRefSet_Appendix D.xlsx
    45KB
    Open

    D

    This concept is NOT included in the NCPT reference set
    Select the concept of interest
    Click 'Refsets'
    In this example, the concept 'Hypoglycaemic coma' is selected
    Open the SNOMED CT Browser (browser.snomedtools.org)
    Open the SNOMED CT Browser (browser.snomedtools.org)

    A,M

    1208606002

    Measured quantity of intake of energy (observable entity)

    Changed - New 2023

    A,M

    251992000

    Fluid intake (observable entity)

    Changed - New 2023

    A,M

    226379006

    Food intake (observable entity)

    Changed - New 2023

    A,M

    230092000

    General food types intake (observable entity)

    Changed - New 2023

    A,M

    1258997006

    Oral intake of out of home food (observable entity)

    Changed - New 2023

    A,M

    1204296008

    Estimated volume of intake of breast milk (observable entity)

    Changed - New 2023

    A,M

    1204298009

    Estimated volume of intake of breast milk per kilogram body weight in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1204299001

    Measured volume of intake of breast milk (observable entity)

    Changed - New 2023

    A,M

    789529009

    Measured volume of intake of breast milk in 24 hours (observable entity)

    Changed - Remapped

    A,M

    789525003

    Measured volume of intake per kilogram body weight of breast milk in 24 hours (observable entity)

    Changed - Remapped

    A,M

    1204304000

    Estimated volume of intake of infant formula (observable entity)

    Changed - New 2023

    A,M

    1204311001

    Estimated volume of intake of infant formula in 24 hours (observable entity)

    Changed - Remapped

    A,M

    1204312008

    Estimated volume of intake of infant formula per kilogram in 24 hours (observable entity)

    Changed - Remapped

    A,M

    1204305004

    Measured volume of intake of infant formula (observable entity)

    Changed - New 2023

    A,M

    1204315005

    Measured volume of intake of infant formula in 24 hours (observable entity)

    Changed - Remapped

    A,M

    879872003

    Measured feeding tube fluid flush volume via gastroenteral route in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1209080004

    Parenteral nutrition intake (observable entity)

    Changed - New 2023

    A,M

    1209079002

    Parenteral nutrition formula intake composition (observable entity)

    Changed - New 2023

    A,M

    896811007

    Estimated quantity of intake of ethanol in grams in one week (observable entity)

    Changed - New 2023

    A,M

    896810008

    Estimated quantity of intake of ethanol in grams in 24 hours (observable entity)

    Changed - New 2023

    A,M

    896812000

    Estimated volume of intake of beer in 24 hours (observable entity)

    Changed - New 2023

    A,M

    896809003

    Estimated volume of intake of distilled spirits in 24 hours (observable entity)

    Changed - New 2023

    A,M

    896808006

    Estimated volume of intake of wine in 24 hours (observable entity)

    Changed - New 2023

    A,M

    896807001

    Estimated volume of intake of alcoholic cider in 24 hours (observable entity)

    Changed - New 2023

    A,M

    228311005

    Pattern of alcohol consumption through week (observable entity)

    Changed - New 2023

    A,M

    443315005

    Number of alcohol units consumed on typical drinking day (observable entity)

    Changed - New 2023

    A,M

    896793002

    Bioactive substance intake (observable entity)

    Changed - New 2023

    A,M

    896799003

    Estimated quantity of intake of bioactive substance (observable entity)

    Changed - New 2023

    A,M

    897677007

    Estimated quantity of intake of plant stanol ester in 24 hours (observable entity)

    Changed - New 2023

    A,M

    896805009

    Estimated quantity of intake of plant sterol ester in 24 hours (observable entity)

    Changed - New 2023

    A,M

    896795009

    Estimated quantity of intake of soy protein in 24 hours (observable entity)

    Changed - New 2023

    A,M

    896798006

    Estimated quantity of intake of psyllium in 24 hours (observable entity)

    Changed - New 2023

    A,M

    896802007

    Estimated quantity of intake of beta glucan in 24 hours (observable entity)

    Changed - New 2023

    A,M

    896800004

    Measured quantity of intake of bioactive substance (observable entity)

    Changed - New 2023

    A,M

    897676003

    Measured quantity of intake of plant stanol ester in 24 hours (observable entity)

    Changed - New 2023

    A,M

    896806005

    Measured quantity of intake of plant sterol ester in 24 hours (observable entity)

    Changed - New 2023

    A,M

    896794008

    Measured quantity of intake of soy protein in 24 hours (observable entity)

    Changed - New 2023

    A,M

    896797001

    Measured quantity of intake of psyllium in 24 hours (observable entity)

    Changed - New 2023

    A,M

    896801000

    Measured quantity of intake of beta glucan in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1179435004

    Food additive intake (observable entity)

    Changed - New 2023

    A,M

    789246006

    Excessive intake of high intensity sweetener (finding)

    Changed - New 2023

    A,M

    1208604004

    Caffeine intake (observable entity)

    Changed - New 2023

    A,M

    879878004

    Estimated quantity of intake of caffeine in 24 hours (observable entity)

    Changed - New 2023

    A,M

    879877009

    Measured quantity of intake of caffeine in 24 hours (observable entity)

    Changed - New 2023

    A,M

    897137000

    Estimated quantity of fat and oil intake (observable entity)

    Changed - New 2023

    A,M

    897136009

    Estimated quantity of fat and oil intake in grams in one meal (observable entity)

    Changed - New 2023

    A,M

    897135008

    Estimated percentage of energy intake from saturated fat in 24 hours (observable entity)

    Changed - New 2023

    A,M

    926360004

    Estimated quantity of intake of lipid modular nutritional supplement in 24 hours (observable entity)

    Changed - New 2023

    A,M

    897134007

    Estimated percentage of energy intake from fat and oil in 24 hours (observable entity)

    Changed - New 2023

    A,M

    897147002

    Measured quantity of fat and oil intake (observable entity)

    Changed - New 2023

    A,M

    897146006

    Measured quantity of fat and oil intake in 24 hours (observable entity)

    Changed - New 2023

    A,M

    897143003

    Measured quantity of intake of essential fatty acid in 24 hours (observable entity)

    Changed - New 2023

    A,M

    897144009

    Measured quantity of intake of medium chain triglyceride in 24 hours (observable entity)

    Changed - New 2023

    A,M

    897140000

    Measured quantity of fat and oil intake in grams in one meal (observable entity)

    Changed - New 2023

    A,M

    897138005

    Measured percentage of energy intake from saturated fat in 24 hours (observable entity)

    Changed - New 2023

    A,M

    926359009

    Measured quantity of intake of lipid modular nutritional supplement in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1208607006

    Measured percentage of energy intake from fat and oil in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1003623007

    Estimated quantity of intake of cholesterol in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1003622002

    Measured quantity of intake of cholesterol in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1179048007

    Estimated quantity of intake of protein and/or protein derivative (observable entity)

    Changed - New 2023

    A,M

    874871007

    Estimated quantity of intake of casein in 24 hours (observable entity)

    Changed - New 2023

    A,M

    879866003

    Estimated quantity of intake of whey protein in 24 hours (observable entity)

    Changed - New 2023

    A,M

    874868004

    Estimated quantity of intake of gluten in 24 hours (observable entity)

    Changed - New 2023

    A,M

    894128009

    Estimated quantity of intake of protein and/or protein derivative per kilogram body weight in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1003633004

    Estimated quantity of protein and/or protein derivative intake in one meal (observable entity)

    Changed - New 2023

    A,M

    1003635006

    Estimated percentage of energy intake from protein and/or protein derivative in 24 hours (observable entity)

    Changed - New 2023

    A,M

    894138004

    Estimated quantity of intake of protein and/or protein derivative via oral route in 24 hours (observable entity)

    Changed - New 2023

    A,M

    926356002

    Estimated quantity of intake of protein and/or protein derivative modular nutritional supplement in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1179049004

    Measured quantity of intake of protein and/or protein derivative (observable entity)

    Changed - New 2023

    A,M

    1144301005

    Measured quantity of intake of protein and/or protein derivative in 24 hours (observable entity)

    Changed - New 2023

    A,M

    874872000

    Measured quantity of intake of casein in 24 hours (observable entity)

    Changed - New 2023

    A,M

    874869007

    Measured quantity of intake of whey protein in 24 hours (observable entity)

    Changed - New 2023

    A,M

    874867009

    Measured quantity of intake of gluten in 24 hours (observable entity)

    Changed - New 2023

    A,M

    894127004

    Measured quantity of intake of protein and/or protein derivative per kilogram body weight in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1003632009

    Measured quantity of intake of protein and/or protein derivative in one meal (observable entity)

    Changed - New 2023

    A,M

    1003636007

    Measured percentage of energy intake from protein and/or protein derivative in 24 hours (observable entity)

    Changed - New 2023

    A,M

    926355003

    Measured quantity of intake of protein and/or protein derivative modular nutritional supplement in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1179052007

    Estimated quantity of intake of amino acids (observable entity)

    Changed - New 2023

    A,M

    1208611000

    Estimated quantity of intake of essential amino acids in 24 hours (observable entity)

    Changed - New 2023

    A,M

    890163007

    Estimated quantity of intake of histidine in 24 hours (observable entity)

    Changed - New 2023

    A,M

    880112005

    Estimated quantity of intake of methionine in 24 hours (observable entity)

    Changed - New 2023

    A,M

    880116008

    Estimated quantity of intake of isoleucine in 24 hours (observable entity)

    Changed - New 2023

    A,M

    880118009

    Estimated quantity of intake of leucine in 24 hours (observable entity)

    Changed - New 2023

    A,M

    890141003

    Estimated quantity of intake of lysine in 24 hours (observable entity)

    Changed - New 2023

    A,M

    890146008

    Estimated quantity of intake of threonine in 24 hours (observable entity)

    Changed - New 2023

    A,M

    890151002

    Estimated quantity of intake of tryptophan in 24 hours (observable entity)

    Changed - New 2023

    A,M

    890158008

    Estimated quantity of intake of phenylalanine in 24 hours (observable entity)

    Changed - New 2023

    A,M

    890165000

    Estimated quantity of intake of valine in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1208608001

    Estimated quantity of intake of nonessential amino acids in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1144286001

    Estimated quantity of intake of arginine in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1144287005

    Estimated quantity of intake of glutamine in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1144293002

    Estimated quantity of intake of homocysteine in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1144295009

    Estimated quantity of intake of tyramine in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1144300006

    Estimated quantity of intake of tyrosine in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1179050004

    Measured quantity of intake of amino acids (observable entity)

    Changed - New 2023

    A,M

    1208613002

    Measured quantity of intake of amino acids in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1208610004

    Measured quantity of intake of essential amino acids in 24 hours (observable entity)

    Changed - New 2023

    A,M

    890162002

    Measured quantity of intake of histidine in 24 hours (observable entity)

    Changed - New 2023

    A,M

    880113000

    Measured quantity of intake of methionine in 24 hours (observable entity)

    Changed - New 2023

    A,M

    880115007

    Measured quantity of intake of isoleucine in 24 hours (observable entity)

    Changed - New 2023

    A,M

    880119001

    Measured quantity of intake of leucine in 24 hours (observable entity)

    Changed - New 2023

    A,M

    890140002

    Measured quantity of intake of lysine in 24 hours (observable entity)

    Changed - Remapped

    A,M

    890145007

    Measured quantity of intake of threonine in 24 hours (observable entity)

    Changed - New 2023

    A,M

    890464008

    Measured quantity of intake of tryptophan in 24 hours (observable entity)

    Changed - New 2023

    A,M

    890156007

    Measured quantity of intake of phenylalanine in 24 hours (observable entity)

    Changed - New 2023

    A,M

    890166004

    Measured quantity of intake of valine in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1208609009

    Measured quantity of intake of nonessential amino acid in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1144285002

    Measured quantity of intake of arginine in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1144288000

    Measured quantity of intake of glutamine in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1144291000

    Measured quantity of intake of homocysteine in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1144294008

    Measured quantity of intake of tyramine in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1144298006

    Measured quantity of intake of tyrosine in 24 hours (observable entity)

    Changed - New 2023

    A,M

    865944002

    Estimated quantity of intake of amino acids via gastroenteral route in 24 hours (observable entity)

    Changed - New 2023

    A,M

    894143006

    Estimated quantity of intake of amino acids via parenteral nutrition in 24 hours (observable entity)

    Changed - New 2023

    A,M

    866009009

    Estimated quantity of intake of amino acids via intravenous fluids in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1179047002

    Estimated quantity of intake of carbohydrate (observable entity)

    Changed - New 2023

    A,M

    1144654004

    Estimated quantity of intake of galactose in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1144666005

    Estimated quantity of intake of lactose in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1144657006

    Estimated quantity of intake of fructose in 24 hours (observable entity)

    Changed - New 2023

    A,M

    894129001

    Estimated quantity of intake of carbohydrate per kilogram body weight in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1003631002

    Estimated quantity of carbohydrate intake in one meal (observable entity)

    Changed - New 2023

    A,M

    1003629006

    Estimated percentage of energy intake from carbohydrate in 24 hours (observable entity)

    Changed - New 2023

    A,M

    789308001

    Estimated quantity of intake of carbohydrate via intravenous route in 24 hours (observable entity)

    Changed - New 2023

    A,M

    926354004

    Estimated quantity of intake of carbohydrate modular nutritional supplement in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1144667001

    Estimated daily glycemic index value (observable entity)

    Changed - New 2023

    A,M

    1144668006

    Estimated daily glycemic load (observable entity)

    Changed - New 2023

    A,M

    1179046006

    Measured quantity of intake of carbohydrate (observable entity)

    Changed - New 2023

    A,M

    1144651007

    Measured quantity of intake of complex carbohydrate in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1144650008

    Measured quantity of intake of simple carbohydrate in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1144653005

    Measured quantity of intake of galactose in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1144658001

    Measured quantity of intake of lactose in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1144656002

    Measured quantity of intake of fructose in 24 hours (observable entity)

    Changed - New 2023

    A,M

    894131005

    Measured quantity of intake of carbohydrate per kilogram body weight in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1003630001

    Measured quantity of carbohydrate intake in one meal (observable entity)

    Changed - New 2023

    A,M

    1003628003

    Measured percentage of energy intake from carbohydrate in 24 hours (observable entity)

    Changed - New 2023

    A,M

    926353005

    Measured quantity of intake of carbohydrate modular nutritional supplement in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1179062000

    Estimated quantity of intake of plant fiber (observable entity)

    Changed - New 2023

    A,M

    1149115001

    Estimated quantity of intake of plant fiber via oral route in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1149113008

    Estimated quantity of intake of plant fiber via gastroenteral route in 24 hours (observable entity)

    Changed - New 2023

    A,M

    926358001

    Estimated quantity of intake of plant fiber modular nutritional supplement in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1179061007

    Measured quantity of intake of plant fiber (observable entity)

    Changed - New 2023

    A,M

    1149119007

    Measured quantity of intake of soluble fiber in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1149118004

    Measured quantity of intake of insoluble fiber in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1149114002

    Measured quantity of intake of plant fiber via oral route in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1149112003

    Measured quantity of intake of plant fiber via gastroenteral route in 24 hours (observable entity)

    Changed - New 2023

    A,M

    926357006

    Measured quantity of intake of plant fiber modular nutritional supplement in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1179056005

    Estimated quantity of intake of vitamins (observable entity)

    Changed - New 2023

    A,M

    1209085009

    Estimated quantity of intake of multivitamin supplement in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1179055009

    Measured quantity of intake of vitamins (observable entity)

    Changed - New 2023

    A,M

    1148638009

    Measured quantity of intake of vitamin A and/or vitamin A derivative in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1148639001

    Measured quantity of intake of ascorbic acid in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1148636008

    Measured quantity of intake of vitamin D and/or vitamin D derivative in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1148637004

    Measured quantity of intake of vitamin E and/or vitamin E derivative in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1148634006

    Measured quantity of intake of vitamin K and/or vitamin K derivative in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1148635007

    Measured quantity of intake of thiamine in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1148646005

    Measured quantity of intake of riboflavin in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1148645009

    Measured quantity of intake of niacin in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1148644008

    Measured quantity of intake of folate and/or folate derivative in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1148640004

    Measured quantity of intake of vitamin B6 and/or vitamin B6 derivative in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1148641000

    Measured quantity of intake of vitamin B12 and/or vitamin B12 derivative in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1148643002

    Measured quantity of intake of pantothenic acid in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1148642007

    Measured quantity of intake of biotin in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1209088006

    Measured quantity of intake of multivitamin supplement in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1179054008

    Estimated quantity of intake of minerals (observable entity)

    Changed - New 2023

    A,M

    1148946007

    Estimated quantity of intake of chloride salt in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1145191003

    Estimated quantity of intake of selenium in 24 hours (observable entity)

    Changed - Remapped

    A,M

    1145190002

    Estimated quantity of intake of manganese in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1145195007

    Estimated quantity of intake of chromium in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1145194006

    Estimated quantity of intake of molybdenum in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1148978004

    Estimated quantity of intake of boron in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1148981009

    Estimated quantity of intake of cobalt in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1209086005

    Estimated quantity of intake of multimineral supplement in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1179053002

    Measured quantity of intake of minerals (observable entity)

    Changed - New 2023

    A,M

    1148721003

    Measured quantity of intake of calcium in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1148945006

    Measured quantity of intake of chloride salt in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1148720002

    Measured quantity of intake of iron in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1148718000

    Measured quantity of intake of magnesium in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1148722005

    Measured quantity of intake of potassium in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1148719008

    Measured quantity of intake of phosphorus in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1148723000

    Measured quantity of intake of sodium in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1148715002

    Measured quantity of intake of zinc in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1148987008

    Measured quantity of intake of sulfate salt in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1148716001

    Measured quantity of intake of fluoride in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1148711006

    Measured quantity of intake of copper in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1148708005

    Measured quantity of intake of iodine in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1145192005

    Measured quantity of intake of selenium in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1145189006

    Measured quantity of intake of manganese in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1145197004

    Measured quantity of intake of chromium in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1145193000

    Measured quantity of intake of molybdenum in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1148979007

    Measured quantity of intake of boron in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1148982002

    Measured quantity of intake of cobalt in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1209087001

    Measured quantity of intake of multimineral supplement in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1209082007

    Estimated quantity of intake of thickener additive in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1209081000

    Measured quantity of intake of thickener additive in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1217192003

    History of prescribed diet (situation)

    Changed - New 2023

    A,M

    230125005

    Diet followed (observable entity)

    Changed - New 2023

    A,M

    414285001

    Allergy to food (finding)

    Changed - New 2023

    A,M

    235719002

    Intolerance to food (finding)

    Changed - New 2023

    A,M

    1179437007

    Availability of breastfeeding accommodation and facilities (observable entity)

    Changed - New 2023

    A,M

    1179434000

    Frequently eats alone (finding)

    Changed - New 2023

    A,M

    1354661006

    Body position for tube feeding (observable entity)

    Changed - New 2023

    A,M

    16985007

    Fasting (finding)

    Changed - New 2023

    A,M

    309298003

    Drug therapy finding (finding)

    Changed - New 2023

    A,M

    788165003

    Misuse of medication (finding)

    Changed - New 2023

    A,M

    785891000

    Nutrition knowledge of individual client (observable entity)

    Changed - New 2023

    A,M

    405103001

    Health orientation (observable entity)

    Changed - New 2023

    A,M

    1260275000

    Food and/or nutrition priority (observable entity)

    Changed - New 2023

    A,M

    1260274001

    Caregiver food and/or nutrition priority for subject (observable entity)

    Changed - New 2023

    A,M

    704299001

    Health belief conflict (finding)

    Changed - New 2023

    A,M

    705039004

    Conflicting attitude of caregiver (finding)

    Changed - New 2023

    A,M

    118196009

    Value belief finding (finding)

    Changed - New 2023

    A,M

    1163309009

    Self reported perceived susceptibility to food and/or nutrition health problem score (observable entity)

    Changed - New 2023

    A,M

    1163308001

    Self reported perceived severity of risk to health score (observable entity)

    Changed - New 2023

    A,M

    1163307006

    Self reported perceived benefit of food and/or nutrition behavior change score (observable entity)

    Changed - New 2023

    A,M

    1163310004

    Self reported likelihood of performing food and/or nutrition behavior score (observable entity)

    Changed - New 2023

    A,M

    1163278003

    Self reported perceived control over food and/or nutrition behavior score (observable entity)

    Changed - New 2023

    A,M

    1163277008

    Self reported food and/or nutrition self efficacy score (observable entity)

    Changed - New 2023

    A,M

    1163306002

    Self reported perceived barrier to food and/or nutrition behavior score (observable entity)

    Changed - New 2023

    A,M

    1155696002

    Readiness to change nutrition behavior stage (observable entity)

    Changed - New 2023

    A,M

    1155690008

    Precontemplation stage for readiness to change nutrition behavior (finding)

    Changed - New 2023

    A,M

    1155694004

    Contemplation stage for readiness to change nutrition behavior (finding)

    Changed - New 2023

    A,M

    1155693005

    Preparation stage for readiness to change nutrition behavior (finding)

    Changed - New 2023

    A,M

    1155691007

    Action stage for readiness to change nutrition behavior (finding)

    Changed - New 2023

    A,M

    1155695003

    Maintenance stage for readiness to change nutrition behavior (finding)

    Changed - New 2023

    A,M

    1155700005

    Self reported readiness to change nutrition behavior score (observable entity)

    Changed - New 2023

    A,M

    1163286003

    Negative emotion about food and/or nutrition (finding)

    Changed - New 2023

    A,M

    1163287007

    Positive emotion about food and/or nutrition (finding)

    Changed - New 2023

    A,M

    63384009

    Distorted body image (finding)

    Changed - New 2023

    A,M

    248130006

    Preoccupation with food (finding)

    Changed - New 2023

    A,M

    276360005

    Preoccupation with body weight (finding)

    Changed - New 2023

    A,M

    1163284000

    Preoccupation with body shape (finding)

    Changed - New 2023

    A,M

    1163281008

    Negative self talk related to food and/or nutrition (finding)

    Changed - New 2023

    A,M

    1163280009

    Positive self talk related to food and/or nutrition (finding)

    Changed - New 2023

    A,M

    1163282001

    Food preference (observable entity)

    Changed - New 2023

    A,M

    1163283006

    Beverage preference (observable entity)

    Changed - New 2023

    A,M

    844005

    Behavior finding (finding)

    Changed - New 2023

    A,M

    405077003

    Self-initiated health seeking behavior (observable entity)

    Changed - New 2023

    A,M

    284489004

    Avoidance behavior (finding)

    Changed - New 2023

    A,M

    1217374002

    Restrained eating behavior (finding)

    Changed - New 2023

    A,M

    1162387003

    Binge eating behavior (finding)

    Changed - New 2023

    A,M

    249520001

    Self-induced purging (disorder)

    Changed - New 2023

    A,M

    248113009

    Eating behavior and appetite (finding)

    Changed - New 2023

    A,M

    1217375001

    Duration of typical eating occasion (observable entity)

    Changed - New 2023

    A,M

    1217376000

    Percentage of typical eating occasion spent consuming food (observable entity)

    Changed - New 2023

    A,M

    105481005

    Refusing food (finding)

    Changed - New 2023

    A,M

    1217377009

    Difficulty eating due to fatigue (finding)

    Changed - New 2023

    A,M

    1179436003

    Readiness to consume increased variety of food (observable entity)

    Changed - New 2023

    A,M

    16230791000119100

    Sensory aversion to particular foods (finding)

    Changed - New 2023

    A,M

    302160007

    Household, family and support network detail (observable entity)

    Changed - New 2023

    A,M

    1179210008

    Ability to build and utilize social network (observable entity)

    Changed - New 2023

    A,M

    1179438002

    Awareness of program offering food and nutrition services (observable entity)

    Changed - New 2023

    A,M

    1162952007

    Availability of food shopping facility (observable entity)

    Changed - New 2023

    A,M

    286440006

    Ability to obtain food (observable entity)

    Changed - New 2023

    A,M

    1162951000

    Access to food preparation equipment (observable entity)

    Changed - New 2023

    A,M

    1162950004

    Access to food refrigeration (observable entity)

    Changed - New 2023

    A,M

    1162953002

    Ability to identify safe food (observable entity)

    Changed - New 2023

    A,M

    1078229009

    Food security (finding)

    Changed - New 2023

    A,M

    1162942008

    Access to potable water (observable entity)

    Changed - New 2023

    A,M

    1162949004

    Ability to decontaminate water (observable entity)

    Changed - New 2023

    A,M

    1162944009

    Awareness of public health water alert (observable entity)

    Changed - New 2023

    A,M

    1162948007

    Access to nutrition supplies (observable entity)

    Changed - New 2023

    A,M

    1162945005

    Access to assistive eating device (observable entity)

    Changed - New 2023

    A,M

    1162947002

    Access to assistive food preparation device (observable entity)

    Changed - New 2023

    A,M

    1162941001

    Access to toileting facilities (observable entity)

    Changed - New 2023

    A,M

    1162940000

    Ability to wash hands with soap and water (observable entity)

    Changed - New 2023

    A,M

    106020009

    Finding of activity exercise pattern (finding)

    Changed - New 2023

    A,M

    169746009

    Breastfeeding stopped (finding)

    Changed - New 2023

    A,M

    364769008

    Finding of infant feeding method (finding)

    Changed - New 2023

    A,M

    1258999009

    Maternal exclusive breastfeeding (finding)

    Changed - New 2023

    A,M

    1258998001

    Partial maternal breastfeeding (finding)

    Changed - New 2023

    A,M

    200402001

    Retraction of nipple in pregnancy, the puerperium or lactation (finding)

    Changed - Semantic tag

    A,M

    82231009

    Inversion of nipple (disorder)

    Changed - New 2023

    A,M

    200416006

    Breast engorgement in pregnancy, the puerperium or lactation (finding)

    Changed - New 2023

    A,M

    364806006

    Finding related to ability to suck (finding)

    Changed - New 2023

    A,M

    288999009

    Ability to feed self (observable entity)

    Changed - New 2023

    A,M

    1179211007

    Ability to position self in relation to food (observable entity)

    Changed - New 2023

    A,M

    129033007

    Feeding assisted (finding)

    Changed - New 2023

    A,M

    289067006

    Able to use feeding aid (finding)

    Changed - New 2023

    A,M

    1179213005

    Ability to remember to eat (observable entity)

    Changed - New 2023

    A,M

    1220611007

    Perceived safety of neighborhood (observable entity)

    Changed - New 2023

    A,M

    1220610008

    Perceived walkability of neighborhood (observable entity)

    Changed - New 2023

    A,M

    1220613005

    Perceived proximity to green space (observable entity)

    Changed - New 2023

    A,M

    1220612000

    Access to physical activity facility (observable entity)

    Changed - New 2023

    A,M

    1179439005

    Food and/or nutrition quality of life satisfaction (observable entity)

    Changed - New 2023

    A,M

    365605003

    Body measurement finding (finding)

    Changed - Remapped

    A,M

    1153637007

    Body height (observable entity)

    Changed - New 2023

    A,M

    1162392001

    Pre-amputation measured body height (observable entity)

    Changed - New 2023

    A,M

    1162417005

    Pre-amputation estimated body height (observable entity)

    Changed - New 2023

    A,M

    1162418000

    Estimated body height (observable entity)

    Changed - New 2023

    A,M

    1162419008

    Self reported body height (observable entity)

    Changed - New 2023

    A,M

    1230278008

    Self reported peak adult body height (observable entity)

    Changed - New 2023

    A,M

    1003996007

    Tibia length (observable entity)

    Changed - New 2023

    A,M

    456701000124107

    Length of arm span (observable entity)

    Changed - New 2023

    A,M

    1003998008

    Arm demispan (observable entity)

    Changed - New 2023

    A,M

    1003999000

    Arm halfspan (observable entity)

    Changed - New 2023

    A,M

    1259000006

    Body height measurement device (observable entity)

    Changed - New 2023

    A,M

    1230277003

    Self reported peak body weight (observable entity)

    Changed - New 2023

    A,M

    1162390009

    Usual body weight percentage (observable entity)

    Changed - New 2023

    A,M

    1162389000

    Self reported pre-pregnancy body weight (observable entity)

    Changed - New 2023

    A,M

    1162388008

    Dosing body weight (observable entity)

    Changed - New 2023

    A,M

    445541000

    Dry body weight (observable entity)

    Changed - New 2023

    A,M

    1162416001

    Pre-amputation measured body weight (observable entity)

    Changed - New 2023

    A,M

    1162414003

    Pre-amputation estimated body weight (observable entity)

    Changed - New 2023

    A,M

    1162415002

    Post-amputation measured body weight (observable entity)

    Changed - New 2023

    A,M

    1162413009

    Post-amputation estimated body weight (observable entity)

    Changed - New 2023

    A,M

    1162421003

    Pre-dialysis body weight (observable entity)

    Changed - New 2023

    A,M

    1162420002

    Post-dialysis body weight (observable entity)

    Changed - New 2023

    A,M

    816159004

    Measured weight gain (observable entity)

    Changed - New 2023

    A,M

    816160009

    Measured weight loss (observable entity)

    Changed - New 2023

    A,M

    248347000

    Percentage change in weight (observable entity)

    Changed - New 2023

    A,M

    1162533005

    Measured interdialytic weight gain (observable entity)

    Changed - New 2023

    A,M

    1162534004

    Measured interdialytic weight loss (observable entity)

    Changed - New 2023

    A,M

    1162544002

    Body mass index prime ratio (observable entity)

    Changed - New 2023

    A,M

    1153602009

    Body mass index for age percentile (observable entity)

    Changed - New 2023

    A,M

    1153596006

    Body mass index for age z-score (observable entity)

    Changed - New 2023

    A,M

    1153595005

    Child head circumference for age percentile (observable entity)

    Changed - New 2023

    A,M

    1153594009

    Head circumference for age z-score (observable entity)

    Changed - New 2023

    A,M

    1153591001

    Length for age percentile (observable entity)

    Changed - New 2023

    A,M

    1153590000

    Length for age z score (observable entity)

    Changed - New 2023

    A,M

    1153605006

    Body height for age percentile (observable entity)

    Changed - New 2023

    A,M

    1153604005

    Body height for age z-score (observable entity)

    Changed - New 2023

    A,M

    1153599004

    Weight for length percentile (observable entity)

    Changed - New 2023

    A,M

    1153598007

    Weight for length z score (observable entity)

    Changed - New 2023

    A,M

    1153592008

    Weight for age percentile (observable entity)

    Changed - New 2023

    A,M

    1153593003

    Weight for age z-score (observable entity)

    Changed - New 2023

    A,M

    1153601002

    Weight for height percentile (observable entity)

    Changed - New 2023

    A,M

    1153600001

    Weight for height z-score (observable entity)

    Changed - New 2023

    A,M

    1153606007

    Mid parental height (observable entity)

    Changed - New 2023

    A,M

    248361005

    Total body fat (observable entity)

    Changed - New 2023

    A,M

    1230136007

    Method for determining body fat percentage (observable entity)

    Changed - New 2023

    A,M

    440035002

    Dual energy X-ray photon absorptiometry scan T score (observable entity)

    Changed - New 2023

    A,M

    1259001005

    Dual energy x-ray photon absorptiometry scan Z score (observable entity)

    Changed - New 2023

    A,M

    1162543008

    Mid arm muscle circumference percentile (observable entity)

    Changed - New 2023

    A,M

    1162538001

    Triceps skinfold percentile (observable entity)

    Changed - New 2023

    A,M

    1162539009

    Triceps skinfold z score (observable entity)

    Changed - New 2023

    A,M

    1162536002

    Waist circumference at narrowest point (observable entity)

    Changed - New 2023

    A,M

    1162535003

    Waist circumference at midpoint between lowest rib and iliac crest (observable entity)

    Changed - New 2023

    A,M

    1162540006

    Mid upper left arm circumference (observable entity)

    Changed - New 2023

    A,M

    1162541005

    Mid upper arm circumference z score (observable entity)

    Changed - New 2023

    A,M

    366209005

    Physique finding (finding)

    Changed - New 2023

    A,M

    371597004

    Emaciated (finding)

    Changed - New 2023

    A,M

    840601005

    Endomorph (finding)

    Changed - New 2023

    A,M

    827072007

    Mesomorph (finding)

    Changed - New 2023

    A,M

    299331007

    Knee joint varus deformity (finding)

    Changed - New 2023

    A,M

    1162665001

    Volume of drainage of gastric contents (observable entity)

    Changed - New 2023

    A,M

    1162667009

    Volume of drainage of bile duct (observable entity)

    Changed - New 2023

    A,M

    1162668004

    Volume of drainage of pancreatic fluid (observable entity)

    Changed - New 2023

    A,M

    1162670008

    Volume of drainage of chyle (observable entity)

    Changed - New 2023

    A,M

    1162669007

    Volume of wound drainage of serosanguinous fluid (observable entity)

    Changed - New 2023

    A,M

    1162664002

    Volume of drainage of intestinal fistula (observable entity)

    Changed - New 2023

    A,M

    57676002

    Pain of joint (finding)

    Changed - Remapped

    A,M

    246874003

    Conjunctival keratinization (disorder)

    Changed - Semantic Tag

    A,M

    238951005

    Xanthelasma (disorder)

    Changed - Remapped

    A,M

    829987009

    Lack of luster of hair (finding)

    Changed - New 2023

    A,M

    248182008

    Cracked lips (finding)

    Changed - New 2023

    A,M

    1071000119107

    Oral lesion (disorder)

    Changed - Semantic Tag

    A,M

    835279003

    Decreased reflex (finding)

    Changed - Remapped

    A,M

    829991004

    Tremor in bilateral outstretched hands (finding)

    Changed - New 2023

    A,M

    52475004

    Xeroderma (disorder)

    Changed - Remapped

    A,M

    277905003

    Disorder of keratinization (disorder)

    Changed - New 2023

    A,M

    271813007

    Petechiae (disorder)

    Changed - Semantic Tag

    A,M

    1237117000

    Venous ulcer of lower leg (disorder)

    Changed - Remapped

    A,M

    403212009

    Vesicobullous form erythema multiforme (disorder)

    Changed - New 2023

    A,M

    364797002

    Finding related to ability to swallow (finding)

    Changed - Remapped

    A,M

    118227000

    Vital signs finding (finding)

    Changed - New 2023

    A,M

    1162737008

    Self reported systolic blood pressure (observable entity)

    Changed - New 2023

    A,M

    1162735000

    Self reported diastolic blood pressure (observable entity)

    Changed - New 2023

    A,M

    184100006

    Patient sex (observable entity)

    Changed - New 2023

    A,M

    224285004

    Education and schooling detail (observable entity)

    Changed - New 2023

    A,M

    365474007

    Finding of details of family (finding)

    Changed - New 2023

    A,M

    21134002

    Disability (finding)

    Changed - New 2023

    A,M

    312850006

    History of disorder (situation)

    Changed - New 2023

    A,M

    266987004

    History of malignant neoplasm (situation)

    Changed - New 2023

    A,M

    266995000

    History of cardiovascular disease (situation)

    Changed - New 2023

    A,M

    266990005

    History of endocrine disorder (situation)

    Changed - New 2023

    A,M

    266997008

    History of gastrointestinal disease (situation)

    Changed - New 2023

    A,M

    271902005

    History of gynecological disorder (situation)

    Changed - New 2023

    A,M

    266992002

    History of blood disorder (situation)

    Changed - New 2023

    A,M

    107921000119107

    History of immune disorder (situation)

    Changed - New 2023

    A,M

    152711000119105

    History of skin and/or subcutaneous tissue disease (situation)

    Changed - New 2023

    A,M

    267004000

    History of musculoskeletal disease (situation)

    Changed - New 2023

    A,M

    161464003

    History of psychiatric disorder (situation)

    Changed - New 2023

    A,M

    161523006

    History of respiratory disease (situation)

    Changed - New 2023

    A,M

    266991009

    History of metabolic disorder (situation)

    Changed - New 2023

    A,M

    281666001

    Family history of disorder (situation)

    Changed - New 2023

    A,M

    275937001

    Family history of malignant neoplasm (situation)

    Changed - New 2023

    A,M

    266894000

    Family history: Cardiovascular disease (situation)

    Changed - New 2023

    A,M

    160301004

    Family history of endocrine disorders (situation)

    Changed - New 2023

    A,M

    160381001

    Family history: Gastrointestinal disease (situation)

    Changed - New 2023

    A,M

    275132006

    Family history: Gynecological problem (situation)

    Changed - New 2023

    A,M

    160316001

    Family history: Blood disorder (situation)

    Changed - New 2023

    A,M

    737367001

    Family history of disorder of immune function (situation)

    Changed - New 2023

    A,M

    160406008

    Family history: Skin disease (situation)

    Changed - New 2023

    A,M

    266907002

    Family history: Musculoskeletal disease (situation)

    Changed - New 2023

    A,M

    297239000

    Family history of neurological disorder (situation)

    Changed - New 2023

    A,M

    160324006

    Family history of mental disorder (situation)

    Changed - New 2023

    A,M

    266898002

    Family history: Respiratory disease (situation)

    Changed - New 2023

    A,M

    160305008

    Family history of metabolic disorder (situation)

    Changed - New 2023

    A,M

    103735009

    Palliative care (regime/therapy)

    Changed - New 2023

    A,M

    108329005

    Social context finding (finding)

    Changed - New 2023

    A,M

    302148006

    Legal, financial, employment and socioeconomic history detail (observable entity)

    Changed - New 2023

    A,M

    224209007

    Residence and accommodation circumstances (observable entity)

    Changed - New 2023

    A,M

    405076007

    Social support status (observable entity)

    Changed - New 2023

    A,M

    162318009

    Life crisis, life event (finding)

    Changed - New 2023

    A,M

    405052004

    Level of stress (observable entity)

    Changed - New 2023

    A,M

    273249006

    Assessment scales (assessment scale)

    Changed - New 2023

    A,M

    895535003

    Scored Patient-Generated Subjective Global Assessment score (observable entity)

    Changed - New 2023

    A,M

    226244007

    Energy requirement (observable entity)

    Changed - New 2023

    A,M

    1222690001

    Method for estimating energy requirement (observable entity)

    Changed - New 2023

    A,M

    840665003

    Fat and oil requirement (observable entity)

    Changed - New 2023

    A,M

    1222691002

    Method for estimating fat and oil requirement (observable entity)

    Changed - New 2023

    A,M

    1222564009

    Protein and/or protein derivative requirement (observable entity)

    Changed - New 2023

    A,M

    1003992009

    Estimated required quantity of protein and/or protein derivative per kilogram in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1222692009

    Method for estimating protein and/or protein derivative requirement (observable entity)

    Changed - New 2023

    A,M

    226267009

    Carbohydrate requirement (observable entity)

    Changed - New 2023

    A,M

    1222696007

    Method for estimating carbohydrate requirement (observable entity)

    Changed - New 2023

    A,M

    1003839003

    Estimated required quantity of plant fiber in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1222697003

    Method for estimating plant fiber requirement (observable entity)

    Changed - New 2023

    A,M

    1003836005

    Estimated required volume of fluid in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1222695006

    Method for estimating fluid requirement (observable entity)

    Changed - New 2023

    A,M

    897490009

    Estimated required quantity of vitamin A and/or vitamin A derivative in 24 hours (observable entity)

    Changed - New 2023

    A,M

    897640004

    Estimated required quantity of intake of ascorbic acid in 24 hours (observable entity)

    Changed - New 2023

    A,M

    897489000

    Estimated required quantity of vitamin D and/or vitamin D derivative in 24 hours (observable entity)

    Changed - New 2023

    A,M

    897488008

    Estimated required quantity of vitamin E and/or vitamin E derivative in 24 hours (observable entity)

    Changed - New 2023

    A,M

    897487003

    Estimated required quantity of vitamin K and/or vitamin K derivative in 24 hours (observable entity)

    Changed - New 2023

    A,M

    897641000

    Estimated required quantity of intake of thiamine in 24 hours (observable entity)

    Changed - New 2023

    A,M

    897638009

    Estimated required quantity of intake of riboflavin in 24 hours (observable entity)

    Changed - New 2023

    A,M

    897637004

    Estimated required quantity of intake of niacin in 24 hours (observable entity)

    Changed - New 2023

    A,M

    897639001

    Estimated required quantity of intake of folate and/or folate derivative in 24 hours (observable entity)

    Changed - New 2023

    A,M

    897645009

    Estimated required quantity of vitamin B6 and/or vitamin B6 derivative in 24 hours (observable entity)

    Changed - New 2023

    A,M

    897644008

    Estimated required quantity of vitamin B12 and/or vitamin B12 derivative in 24 hours (observable entity)

    Changed - New 2023

    A,M

    897643002

    Estimated required quantity of pantothenic acid in 24 hours (observable entity)

    Changed - New 2023

    A,M

    897642007

    Estimated required quantity of biotin in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1222693004

    Method for estimating vitamin requirement (observable entity)

    Changed - New 2023

    A,M

    1163026009

    Estimated required quantity of intake of calcium in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1163023001

    Estimated required quantity of intake of chloride in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1163025008

    Estimated required quantity of intake of iron in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1163024007

    Estimated required quantity of intake of magnesium in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1173084009

    Estimated required quantity of intake of potassium in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1163034003

    Estimated required quantity of intake of phosphorus in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1163033009

    Estimated required quantity of intake of sodium in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1163032004

    Estimated required quantity of intake of zinc in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1163031006

    Estimated required quantity of intake of sulfate salt in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1163027000

    Estimated required quantity of intake of fluoride in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1163028005

    Estimated required quantity of intake of copper in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1163030007

    Estimated required quantity of intake of iodine in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1163029002

    Estimated required quantity of intake of selenium in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1163037005

    Estimated required quantity of intake of manganese in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1163038000

    Estimated required quantity of intake of chromium in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1163036001

    Estimated required quantity of intake of molybdenum in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1163039008

    Estimated required quantity of intake of boron in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1163040005

    Estimated required quantity of intake of cobalt in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1222694005

    Method for estimating mineral requirement (observable entity)

    Changed - New 2023

    A,M

    1222698008

    Target body mass index (observable entity)

    Changed - New 2023

    A,M

    1162727003

    Goal discontinued (finding)

    Changed - New 2023

    A,M

    894144000

    Measured quantity of intake of amino acids via parenteral nutrition in 24 hours (observable entity)

    Changed - New 2023

    A,M

    1354662004

    Method of administration for tube feeding (observable entity)

    Changed - New 2023

    A,M

    1172970009

    Enteral nutrition feeding access device patency status (observable entity)

    Changed - New 2023

    A,M

    1354665002

    Supine body position for tube feeding (finding)

    Changed - New 2023

    A,M

    1354664003

    Prone body position for tube feeding (finding)

    Changed - New 2023

    A,M

    1354663009

    Degree elevation of head of bed for tube feeding (observable entity)

    Changed - New 2023

    A,M

    1172965002

    Method of parenteral nutrition feeding administration (observable entity)

    Changed - New 2023

    A,M

    1172967005

    Parenteral nutrition feeding access device patency status (observable entity)

    Changed - New 2023

    A,M

    225584005

    Craving for non-food item (finding)

    Changed - New 2023

    A,M

    1162386007

    Number of self reported binge eating episodes per week (observable entity)

    Changed - New 2023

    A,M

    248135001

    Aversion to particular food (finding)

    Changed - New 2023

    A,M

    248136000

    Aversion to particular drink (finding)

    Changed - New 2023

    A,M

    1217378004

    Distracted during eating (finding)

    Changed - New 2023

    A,M

    300719004

    Able to perform shopping activities (finding)

    Changed - New 2023

    A,M

    286435003

    Able to plan meals (finding)

    Changed - New 2023

    A,M

    286453009

    Able to prepare food for eating (finding)

    Changed - New 2023

    A,M

    286489001

    Able to prepare meal (finding)

    Changed - New 2023

    A,M

    289041001

    Ability to use cutlery to feed self (observable entity)

    Changed - New 2023

    A,M

    1216955005

    Ability to self-administer enteral nutrition feeding (observable entity)

    Changed - New 2023

    A,M

    1216954009

    Ability to self-administer parenteral nutrition feeding (observable entity)

    Changed - New 2023

    A,M

    1216952008

    Ability to remember to infuse enteral nutrition (observable entity)

    Changed - New 2023

    A,M

    1216953003

    Ability to remember to infuse parenteral nutrition (observable entity)

    Changed - New 2023

    A,M

    288400006

    Able to open and close containers (finding)

    Changed - New 2023

    A,M

    1251558001

    Concern about food and/or nutrition (finding)

    Changed - New 2023

    A,M

    248363008

    Fat-free mass (observable entity)

    Changed - New 2023

    A,M

    444905003

    Mass of soft tissue (finding)

    Changed - New 2023

    A,M

    1251557006

    Waist circumference to body height ratio (observable entity)

    Changed - New 2023

    A,M

    413158008

    Left calf circumference (observable entity)

    Changed - New 2023

    A,M

    413157003

    Right calf circumference (observable entity)

    Changed - New 2023

    A,M

    21261008

    Decreased functional residual capacity (finding)

    Changed - New 2023

    A,M

    95438009

    Diaphragmatic paresis (finding)

    Changed - New 2023

    A,M

    56273005

    Abnormal muscle function (finding)

    Changed - New 2023

    A,M

    298301007

    Skeletal muscle problem (finding)

    Changed - New 2023

    A,M

    298286003

    Skeletal muscle power problem (finding)

    Changed - New 2023

    A,M

    1157308000

    Corrected fetal gestational age in weeks and days (observable entity)

    Changed - New 2023

    A,M

    895534004

    Subjective Global Assessment score (observable entity)

    Changed - New 2023

    A,M

    895533005

    Mini Nutritional Assessment score (observable entity)

    Changed - New 2023

    A,M

    1149299000

    Subjective Global Nutritional Assessment for children score (observable entity)

    Changed - New 2023

    A,M

    1237459008

    International Dysphagia Diet Standardisation Initiative Framework drinks level (observable entity)

    Changed - New 2023

    A,M

    1237463001

    International Dysphagia Diet Standardisation Initiative Framework food level (observable entity)

    Changed - New 2023

    A,M

    1231507006

    International Dysphagia Diet Standardisation Initiative Functional Diet Scale score (observable entity)

    Changed - New 2023

    A,M

    1354756004

    Parenteral feeding (regime/therapy)

    Changed - New 2023

    I

    441961000124100

    Acute disease or injury-related malnutrition (disorder)

    Changed - Intl Extension

    D

    1290276005

    Dissatisfaction with nutrition regime (finding)

    Changed - New Mapping

    D

    284778005

    Difficulty performing personal care activity (finding)

    D

    Omitted due to ncpt inactivation

    439081000124109

    Dietary liquid consistency - thin liquid (regime/therapy)

    I

    Omitted due to ncpt inactivation

    439021000124105

    Dietary liquid consistency - nectar thick liquid (regime/therapy)

    I

    Omitted due to ncpt inactivation

    439031000000000

    Dietary liquid consistency - honey thick liquid (regime/therapy)

    I

    Omitted due to ncpt inactivation

    439041000000000

    Dietary liquid consistency - spoon thick liquid (regime/therapy)

    I

    Omitted due to ncpt inactivation

    447316007

    Mini-mental state examination score (observable entity)

    AME

    Omitted due to NCPT inactivation

    439141000124104

    Commercial beverage, medical food supplement therapy (regime/therapy)

    439131000124109

    Medical food supplement therapy (regime/therapy)

    I

    Remapped to duplicate mapping

    439151000124102

    Commercial food, medical food supplement therapy (regime/therapy)

    439131000124109

    Medical food supplement therapy (regime/therapy)

    I

    Remapped to duplicate mapping

    Here you see what simple type reference sets, the selected concept is included in
    Click 'Members'
    Scroll down the list to see the 'Nutrition Care Process Terminology reference set' - then click this row
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    Perform a search for a concept of interest.

    Use Cases

    Effective nutrition care relies on the ability to share, receive, reuse, and interpret structured nutrition data seamlessly across healthcare settings. Structured nutrition care data play a crucial role in supporting comprehensive care transitions, ensuring continuity and consistency in nutrition interventions as patients move through different levels of care.

    The use cases provided on this page serve as examples of how SNOMED CT terms can be applied to document various aspects of nutrition care. These examples are illustrative rather than exhaustive, offering guidance on practical applications of SNOMED CT for capturing nutrition-related information within clinical workflows.

    Use Case 1: Interoperable nutrition care utilizing the Nutrition Care Process Model and standardized terminology

    Standardizing the documentation of nutrition care using SNOMED CT allows for consistent recording of patient data across different EHR systems. Structured documentation facilitates interoperability between healthcare providers and enables seamless sharing of nutrition-related data during patient transitions between care settings (e.g. when a patient is discharged from a hospital to a long term care facility). Development of functional digital nutrition care templates in EHR systems, and subsequent seamless data acquisition and analysis are greatly facilitated by the SNOMED CT NCPT reference set and other available concept groupings such as value sets. are lists of codes and corresponding terms, such as SNOMED CT that define clinical concepts to support effective and interoperable health information exchange. Value sets ensure consistency as the same key concepts are chosen every time for documentation. In the United States, the Value Set Authority of the National Library of Medicine maintains value sets. The Academy stewards over 72 nutrition and dietetics related value sets that are available at the Value Set Authority (log in required). An example of such a value set is the '' value set in VSAC that contains mostly but not exclusively the SNOMED concepts describing NCPT nutrition diagnoses. In future iterations of this guide, broad examples utilizing value sets will be included among use cases. More on value sets is available in section .

    A patient with newly diagnosed diabetes mellitus type 2 is referred to a dietitian for nutrition care. The patient has not seen a dietitian before. During the initial assessment, the dietitian records the patient's dietary habits, anthropometric measurements, biochemical data (e.g. blood glucose concentration), and relevant medical and social history using standardized SNOMED CT concepts within the EHR. This structured documentation allows for seamless sharing of the patient's nutrition assessment data with other healthcare providers involved in their care, such as endocrinologists, primary care physicians, and nurses.

    Examples

    • 788472008 Carbohydrate intake (observable entity): > 500 grams per day exceeding recommended range of 250-300 grams per day

    • 785891000 Nutrition knowledge of individual client (observable entity): poor

    • 819960006 Healthy Eating Index 2015 score (observable entity): 49 (out of 100, which is categorized in the lowest quality)*: poor

    *Healthy Eating Index (HEI) 2015 scale is: from 1 point (lowest) to 100 points (highest diet quality), five categories:

    • scores of 90 to 100=excellent

    • scores of 80 to 89=very good

    • 70 to 79=good

    • 60 to 69=fair, and

    **Health Related Quality of Life (HRQOL) scale is: excellent, very good, good, fair, or poor

    • Streamlined Workflow: Clinicians can efficiently capture and access comprehensive nutrition assessment data within the EHR, reducing documentation time and minimizing redundancies.

    • Enhanced Communication : Standardized documentation facilitates seamless communication and information sharing among interdisciplinary healthcare teams, improving care coordination and patient outcomes, and helping to provide safe care; also SNOMED CT can facilitate communication within a collaborative team where the client is included.

    • Improved Continuity of Care: Clinicians can easily retrieve and review recorded nutrition care data from previous encounters, ensuring continuity of care and informed decision-making across care settings.

    • Enhanced Communication: Standardized documentation facilitates seamless communication and information sharing among interdisciplinary healthcare teams, improving care coordination and patient outcomes, and helping to provide safe care. Standardized terminology promotes health literacy and equity of the client.

    • Improved Continuity of Care: Clients can retrieve and review recorded nutrition data from provider encounters, ensuring continuity of care and participation in informed goal setting and decision-making across care settings.

    By leveraging SNOMED CT concepts for nutrition diagnosis within the SNOMED CT NCPT reference set (current release April 2026) , healthcare professionals can accurately identify and categorize patients' nutrition problems. This standardized approach enhances the ability to apply evidence-based interventions and track outcomes effectively.

    Example of a complete diagnostic statement in PES format (P: problem, E: etiology, S: signs and symptoms)

    • Problem: 870404000 Excessive intake of carbohydrate (finding), related to

    • Etiology: 424890008 Unbalanced diet (finding), as evidenced by

    • Signs and Symptoms:

    By applying standardized terminology, the healthcare team can accurately identify the patient's nutrition-related problems and prioritize interventions to address the patient's specific needs.

    • Accurate Problem Identification: Standardized terminology enables clinicians to accurately identify and document nutrition-related problems, enhancing diagnostic precision and supporting evidence-based decision-making.

    • Consistency in Documentation: Clinicians can consistently document nutrition diagnoses using SNOMED CT concepts, ensuring clarity and coherence in health records and facilitating effective communication with other members of the healthcare team.

    • Facilitated Care Planning: Clear and standardized nutrition diagnoses guide clinicians in developing tailored care plans and interventions that address patients' specific nutritional needs and goals.

    • Facilitated Care Planning : Clear and standardized nutrition diagnoses guide clinicians and patients in developing individualized, tailored care plans and interventions that address patients' specific nutritional needs and goals.

    Utilizing SNOMED CT for documenting nutrition interventions enables healthcare providers to select and implement appropriate dietary recommendations and therapies based on standardized terminology. This supports personalized care planning and ensures consistency in treatment strategies across different care settings.

    The dietitian provides an intervention that supports carbohydrate control and portion sizes. The use of SNOMED CT ensures consistency in documenting dietary recommendations and facilitates communication between the dietitian, nurse, endocrinologist, and other members of the healthcare team involved in the patient's care.

    Examples

    • 445301000124102 Content-related nutrition education (procedure), on

    • 787764007 Estimated quantity of intake of carbohydrate in 24 hours (observable entity)

    • Personalized Care Planning: Standardized documentation of nutrition interventions supports clinicians in developing personalized care plans that align with patients' nutrition diagnoses, preferences, and cultural backgrounds.

    • Consistency in Treatment: Clinicians can consistently implement evidence-based nutrition interventions using SNOMED CT-coded concepts, promoting standardization and quality of care across diverse patient populations and care settings.

    • Enhanced Patient Engagement: Clear and standardized documentation facilitates effective communication between clinicians and patients, empowering patients to actively participate in their nutrition management and adhere to recommended dietary changes.

    • Personalized Care Planning: Standardized documentation of nutrition interventions supports clinicians in developing personalized care plans that align with patients' nutrition diagnoses, preferences, and cultural backgrounds.

    • Enhanced Patient Engagement: Clear and standardized documentation facilitates effective communication between clinicians and patients, empowering patients to actively participate in their nutrition management and adhere to recommended dietary changes.

    Standardized documentation of nutrition monitoring and evaluation data using SNOMED CT facilitates ongoing assessment of patients' nutritional status and progress over time. This enables nutrition and dietetics professionals to identify trends, adjust interventions as needed, and evaluate the effectiveness of nutrition care plans in achieving desired outcomes.

    Examples

    • 788472008 Carbohydrate intake (observable entity): >500 grams per day exceeding recommended range of 250-300 grams per day

    • 785891000 Nutrition knowledge of individual client (observable entity): poor

    • 819960006 Healthy Eating Index 2015 score (observable entity): 49 (out of 100): poor

    • Timely Assessment: Standardized documentation enables clinicians to systematically monitor and evaluate patients' nutritional status and response to interventions over time, facilitating early detection of changes and timely adjustments to care plans.

    • Data-Driven Decision-making: Clinicians can leverage aggregated nutrition monitoring data to identify trends, assess treatment efficacy, and make evidence-based decisions to optimize patient outcomes.

    • Quality Improvement: Ongoing documentation and evaluation of nutrition care outcomes support quality improvement initiatives by identifying areas for practice refinement and implementing targeted interventions to enhance patient care and safety.

    • Quality Improvement: Ongoing documentation and evaluation of nutrition care outcomes support quality improvement initiatives by identifying areas for practice refinement and implementing targeted interventions to enhance patient care and safety.

    • Improved health outcomes

    Transitional care models are practice systems that “follow patients across settings (e.g., from hospital to home), improve coordination among health care providers, and help individuals better understand their post-hospital care. When implementing SNOMED CT for nutrition care documentation, concurrent effective use of data standards (such as HL7 FHIR) allows for data to follow the patient effectively. Standardized documentation of nutrition care using SNOMED CT is a critical pre-step to the use of data standards such as FHIR as the structured data is more readily exchanged.

    A standardized digital referral using SNOMED CT codes and a FHIR API is able to transfer nutrition related data of patients with malnutrition between dietitians (from hospital to a community-based meal provision organization) and this communication of care improves health outcomes post discharge.

    • Real Time Data Transfer : Ensures timely continuity of care and reduces clinician and patient burden (no more repeating of information).

    • Reduced Opportunity for Human Error in Clinical Documentation : Automated data transfer allows for accurate data transmission from hospital to other venues of care.

    • Improved Access to Care : Interoperable EHR systems facilitate referral completion (closing the loop in transitions of care effectively). After their hospital discharge, patients can be referred to dietitians and/or other healthcare professionals serving in outpatient settings.

    • Enhanced Security and Privacy : While FHIR is not a security protocol in itself, using data standards to exchange documentation requires advanced security measures that better protect patient privacy.

    By implementing SNOMED CT for nutrition care documentation, EHR systems can support clinical decision support tools that utilize standardized data to provide tailored recommendations for nutrition management. Furthermore, the consistent use of SNOMED CT enables aggregation of data for research purposes, allowing for the analysis of nutrition care practices, outcomes, and their impact on patient health.

    A healthcare system implements a clinical decision support tool embedded within its EHR system to assist providers in managing patients with chronic kidney disease. The tool utilizes SNOMED CT-coded nutrition data to generate tailored recommendations for dietary modifications, fluid restriction, and electrolyte management based on the patient's stage of disease and comorbid conditions. Additionally, aggregated SNOMED CT-coded nutrition care data from EHRs across the healthcare system are utilized for research purposes to analyze trends in nutrition-related outcomes among patients with chronic kidney disease and evaluate the impact of various interventions on disease progression and quality of life.

    • Enhanced Decision Support: Clinicians benefit from clinical decision support tools embedded within the EHR that utilize standardized SNOMED CT-coded nutrition care data to provide real-time, evidence-based recommendations for patient care, enhancing clinical decision-making and patient safety.

    • Informed Research: Aggregated SNOMED CT-coded nutrition data facilitate research initiatives by providing valuable insights into nutrition care practices, outcomes, and trends across diverse patient populations, supporting evidence-based practice and continuous quality improvement efforts.

    • Knowledge Translation: Research findings derived from SNOMED CT-coded nutrition care data can be translated into clinical practice guidelines and protocols, equipping clinicians with up-to-date evidence to guide their decision-making and improve patient care.

    • Generation of New Evidence: Aggregated SNOMED CT-coded nutrition care data facilitate the updating of evidence-based nutrition practice guidelines and can be used in quality improvement work, advocacy and policy design efforts for improving nutrition care services and related staffing capacity.

    Users who would like to submit new use cases they have developed may do so at any time, and will be considered for inclusion. Please submit content, comments, and questions at:


    REFERENCES

    Chui TK, Proaño GV, Raynor HA, Papoutsakis C. A Nutrition Care Process Audit of the National Quality Improvement Dataset: Supporting the Improvement of Data Quality Using the ANDHII Platform. J Acad Nutr Diet. Jul 2020;120(7):1238-1248.e1. doi:10.1016/j.jand.2019.08.174

    Colin C, Arikawa A, Lewis S, et al. Documentation of the evidence-diagnosis link predicts nutrition diagnosis resolution in the Academy of Nutrition and Dietetics' diabetes mellitus registry study: A secondary analysis of Nutrition Care Process outcomes. Front Nutr. 2023;10:1011958. doi:10.3389/fnut.2023.1011958

    Kight CE, Bouche JM, Curry A, et al. Consensus Recommendations for Optimizing Electronic Health Records for Nutrition Care. Nutr Clin Pract. Feb 2020;35(1):12-23. doi:10.1002/ncp.10433

    Krebs-Smith SM, Pannucci TE, Subar AF, et al. Update of the Healthy Eating Index: HEI-2015. J Acad Nutr Diet. Sep 2018;118(9):1591-1602. doi:10.1016/j.jand.2018.05.021

    Lewis SL, Miranda LS, Kurtz J, Larison LM, Brewer WJ, Papoutsakis C. Nutrition Care Process Quality Evaluation and Standardization Tool: The Next Frontier in Quality Evaluation of Documentation. J Acad Nutr Diet. Mar 2022;122(3):650-660. doi:10.1016/j.jand.2021.07.004

    Lewis SL, Wright L, Arikawa AY, Papoutsakis C. Etiology Intervention Link Predicts Resolution of Nutrition Diagnosis: A Nutrition Care Process Outcomes Study from a Veterans' Health Care Facility. J Acad Nutr Diet. Sep 2021;121(9):1831-1840. doi:10.1016/j.jand.2020.04.015

    Lloyd L, Swan WI, Jent S, Vivanti A, Pertel DG. Worldwide Release of SNOMED CT Nutrition Care Process Terminology Problem List. J Acad Nutr Diet. 2024 Apr;124(4):531-534.

    Long JM, Yoder A, Woodcock L, Papoutsakis C. Impact of a Registered Dietitian Nutritionist-Led Food as Medicine Program in the Food Retail Setting: A Feasibility Study. (2212-2672 (Print))

    Maduri C, Sabrina Hsueh PY, Li Z, Chen CH, Papoutsakis C. Applying Contemporary Machine Learning Approaches to Nutrition Care Real-World Evidence: Findings From the National Quality Improvement Data Set. J Acad Nutr Diet. Dec 2021;121(12):2549-2559.e1. doi:10.1016/j.jand.2021.02.003

    Moriarty DG, Zack MM, Kobau R. The Centers for Disease Control and Prevention’s Healthy Days Measures - Population tracking of perceived physical and mental health over time. Health Qual Life Outcomes. 2003;1:37.

    Proaño GV, Papoutsakis C, Lamers-Johnson E, et al. Evaluating the Implementation of Evidence-based Kidney Nutrition Practice Guidelines: The AUGmeNt Study Protocol. J Ren Nutr. Sep 2022;32(5):613-625. doi:10.1053/j.jrn.2021.09.006

    Vergili JM, Proaño GV, Jimenez EY, Moloney L, Papoutsakis C, Steiber A. Academy of Nutrition and Dietetics Commentary on the Phosphorus Recommendation in the KDOQI Clinical Practice Guidelines for Nutrition in CKD: 2020 Update. J Ren Nutr. May 2024;34(3):192-199. doi:10.1053/j.jrn.2023.11.001

    405152002 Quality of life satisfaction (observable entity): poor as measured by
  • 273725009 Quality of life scale (assessment scale): Health Related Quality of Life (HRQOL)**

  • 0 to 59=poor

    788472008 Carbohydrate intake (observable entity): > 500 grams per day exceeding recommended range of 250-300 grams per day and
  • 785891000 Nutrition knowledge of individual client (observable entity): poor

  • 819960006 Healthy Eating Index 2015 score (observable entity): 49 (out of 100): poor

  • 405152002 Quality of life satisfaction (observable entity): poor as reported by patient's Health Related Quality of Life (HRQOL)

  • 405152002 Quality of life satisfaction (observable entity): poor as reported by patient's Health Related Quality of Life (HRQOL)

    Example 1.1 - Nutrition Assessment

    Best practice tip: There is discussion in many countries like Sweden about minimizing double documentation. In the EHR, any professional can read information other professionals have documented. Thus, it should not be necessary for dietitians to re-document values like blood glucose concentration. The dietitians could refer to the related section in the EHR.

    Benefits for Clinicians:

    Benefits for Patients:

    Example 1.2 - Evidence-Based Nutrition Diagnosis

    Benefits for Clinicians:

    Benefits for Patients:

    Example 1.3 - Tailored Nutrition Intervention

    Benefits for Clinicians:

    Benefits for Patients:

    Example 1.4 - Continuous Nutrition Monitoring and Evaluation

    Benefits for Clinicians:

    Benefits for Patients:

    Use Case 2: Transitions of care include continuity of nutrition care across settings. How does the information follow the patient

    Example 2.1 - Exchanging Nutrition Data

    Benefits for Clinicians:

    Benefits for Patients:

    Use Case 3: Facilitating Clinical Decision Support and Research

    Example 3.1 - EHR-Integrated Tool for Personalized Care and Research Insights

    Benefits for Clinicians:

    Benefits for Patients:

    Nutrition Diagnosis Grouping
    Terminology Bindings for Nutrition Diagnosis
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