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.

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 resource.

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

• Category: Clinical

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.

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

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.

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.