This guide is designed as a manual resource to support reading, reflection, and structured discussion around SNOMED CT implementation maturity.
It provides:
Detailed explanations of each Key Process Area (KPA)
Full visibility of all questions, contexts, and answer options
A shared reference for workshops, stakeholder discussions, and planning sessions
Organizations can use this document to:
Facilitate internal reviews and group assessments
Support strategic conversations across teams
Build a common understanding of maturity levels and expectations
In addition to this guide, an interactive version of the assessment is available:
This online tool enables you to:
Complete the assessment digitally
Automatically calculate maturity scores
Generate structured outputs and insights
Track progress more efficiently
Use this guide when you want:
A comprehensive reference
To support facilitated discussions or workshops
To explore questions in detail before answering
The guide and the interactive tool are designed to complement each other:
The guide provides depth, context, and shared understanding
The tool provides efficiency, scoring, and reporting
Using both together ensures a more robust, consistent, and meaningful assessment process.
Use the interactive tool when you want:
A quick and structured assessment experience
Automated scoring and results
A more streamlined and repeatable process
A national health authority with:
Well-established governance and national strategy
Strong central SNOMED CT capability (extension, policy, guidance)
Limited uptake across healthcare providers
Minimal secondary use of SNOMED CT data
This reflects a typical mid-stage national program, where central readiness outpaces adoption.
KPA Score = (25 + 25) ÷ 2 = 25
KPA Score = 75
KPA Score = (25 + 50) ÷ 2 = 37.5
KPA Score = 75
KPA Score = 25
Domain Score = (25 + 75 + 37.5 + 75 + 25) ÷ 5 = 47.5
→ Level 2 – Emerging (upper range)
Strong national governance and policy alignment
Mature extension management and terminology capability
Clear strategic direction
Very low adoption across affiliates
Limited monitoring and feedback mechanisms
Weak stakeholder engagement
Minimal secondary use of data
To move toward Level 3 – Advanced, the Member should:
Establish national implementation mandates or incentives
Support onboarding of healthcare providers
Define minimum adoption requirements
Create formal stakeholder forums
Build partnerships with providers and vendors
Increase communication and support
Introduce national adoption metrics
Track usage across affiliates
Use data to guide interventions
Develop national analytics platforms
Promote reporting and research use cases
Align SNOMED CT with broader data strategy
The SNOMED CT Implementation Maturity Framework (IMF) can be used independently of the interactive assessment tool to support structured, collaborative evaluation of implementation maturity.
This approach is particularly useful for:
Facilitated workshops
Strategic planning sessions
Cross-functional reviews
A regional hospital that:
Uses SNOMED CT in several key departments (e.g., emergency, inpatient)
Has invested in clinician training and support
Has inconsistent workflow integration across systems
A mature EHR product that:
Has broad SNOMED CT coverage across core clinical modules
Provides good usability (search, selection, UI integration)
Supports basic interoperability standards
Extension Management
75
Level 4
Secondary Use
25
Level 1-2
Overall
47.5
Level 2 – Emerging
Affiliate Adoption
<25% adoption
25
Monitoring & Metrics
Minimal monitoring
Governance Structure
Comprehensive governance with reviews
75
Strategic Alignment
Integrated with national initiatives
Stakeholder Involvement
Occasional engagement
25
End-User Resources
Structured resources
Extension Processes
Systematic processes
75
Secondary Data Use
Initial attempts
25
Growth & Adoption
25
Level 1-2
Governance & Strategy
75
25
75
50
Level 4
Early-stage assessments prior to formal scoring
A manual self-assessment enables organizations to build a shared understanding of their current state, validate assumptions, and identify improvement priorities.
Conducting a self-assessment involves five key steps:
Preparation
Scoring Individual Questions
Calculating KPA Scores
Determining Domain and Overall Maturity
Interpreting Results and Identifying Actions
Each step is described below.
Stakeholder type (Member, User Organization, or Vendor)
Organizational boundary (national, regional, or local)
Systems or products included
Include representatives from:
Clinical leadership
Technical/IT teams
Terminology specialists
Data/analytics teams
A multidisciplinary group ensures balanced and accurate scoring.
Where possible, collect documentation to inform scoring:
Policies and governance documents
System architecture and integration details
Training materials
Usage reports and analytics
Each question within a Key Process Area (KPA) includes a set of answer options mapped to a score (typically ranging from 0 to 100). Questions are usually presented with a six-option response scale, and scores from 0 to 100 are progressively assigned across options 0 to 5. The progression between response options is not uniform; instead, different values were assigned by the authors based on their assessment of the maturity level represented by each option.
Review the question and its context carefully
Select the option that best reflects your current state
Each KPA contains multiple questions.
Sum the scores for all questions within the KPA
Divide by the number of questions
Formula:
KPA Score = (Sum of Question Scores) ÷ (Number of Questions)
If a KPA has 4 questions scored:
Each domain consists of one or more KPAs.
Calculate the average of all KPA scores within the domain
Domain Score = (Sum of KPA Scores) ÷ (Number of KPAs)
Use the following ranges to determine maturity level:
Highlight domains with higher maturity (strengths)
Identify domains with lower scores (priority gaps)
Maturity should be relatively balanced. Significant variation between domains may indicate:
Over-investment in technology without adoption
Conduct assessments collaboratively rather than individually
Document assumptions and rationale for each score
Repeat assessments periodically (e.g., annually)
Compare results over time to track progress
Use results to inform strategic planning and investment decisions
Manual self-assessment:
May be subjective without supporting evidence
Can vary depending on participant perspectives
Does not automatically generate reports or benchmarking
Uses SNOMED CT minimally for analytics and decision support
This reflects a typical provider organization, where adoption is driven by local clinical needs rather than enterprise-wide strategy.
Clinical Areas
Partial – uneven coverage
25
Clinical Workflows
Developing – partial workflow integration
KPA Score = (25 + 25) ÷ 2 = 25
Governance Structure
Basic governance
25
Strategic Alignment
Informal discussions
KPA Score = 25
Training Programs
Structured programs
50
User Support
Identified champions
KPA Score = 50
Data Exchange
Limited interoperability
25
Standards Alignment
Incomplete mappings
KPA Score = 25
Analytics Tools
Basic analytics
25
Decision Support
Limited tools
KPA Score = 25
Scope of Implementation
25
Level 1–2
Governance & Strategy
25
Domain Score = (25 + 25 + 50 + 25 + 25) ÷ 5 = 30
→ Level 1 – Basic (upper range)
Emerging training programs and internal expertise
Early clinical adoption in selected departments
Growing awareness of SNOMED CT benefits
Limited and inconsistent adoption across the organization
Lack of formal governance and strategy
Weak interoperability and standards alignment
Minimal use of SNOMED CT for analytics or decision support
To progress to Level 2–3, the organization should:
Define roles and responsibilities
Develop an implementation roadmap
Align with organizational strategy
Roll out SNOMED CT across more departments
Standardize usage across systems
Embed SNOMED CT in clinical documentation and processes
Reduce reliance on free text
Align with standards (e.g., FHIR)
Improve data exchange with partners
Use SNOMED CT for reporting and quality improvement
Introduce basic dashboards and insights
Has limited advanced analytics and AI capabilities
This reflects a typical commercially mature product, where usability and core functionality are strong, but deeper terminology and data capabilities lag behind.
EHR Modules
Comprehensive – most modules
75
Clinical Domains
Moderate scope
KPA Score = (75 + 50) ÷ 2 = 62.5
Update Processes
Basic structured process (manual effort required)
25
Localization & Notification
Limited localization
KPA Score = 25
Search & Interface
Intuitive interfaces (synonyms, suggestions)
50
Feedback & Metrics
Metrics actively tracked
KPA Score = 62.5
Data Exchange
Standard-based integration (e.g., FHIR/HL7)
50
KPA Score = 50
Decision Support
Defined tools (standard CDS features)
50
Analytics Capabilities
Basic analytics (reporting only)
KPA Score = (50 + 25) ÷ 2 = 37.5
Scope of Implementation
62.5
Level 3
Terminology Management
25
Domain Score = (62.5 + 25 + 62.5 + 50 + 37.5) ÷ 5 = 47.5
→ Level 2 – Emerging (upper range)
Strong coverage across clinical modules
Good usability and user experience
Solid foundation for interoperability
Active use of user feedback for improvements
Weak terminology lifecycle management (updates, versioning, localization)
Limited automation in terminology provisioning
Basic analytics and limited decision support capabilities
To progress to Level 3 – Advanced, the vendor should:
Implement automated SNOMED CT update pipelines
Introduce version control and release management
Improve localization and extension handling
Expand decision support capabilities
Introduce predictive and real-time analytics
Enable better use of coded data
Expand terminology services (value sets, mappings)
Strengthen semantic interoperability across systems
25
25
50
25
25
Level 1
Training & Support
50
Level 2
Interoperability
25
Level 1
Analytics & CDS
25
Level 1
Overall
30
Level 1 – Basic
50
25
75
25
Level 1–2
Usability
62.5
Level 3
Interoperability
50
Level 2–3
Analytics & CDS
37.5
Level 2
Overall
47.5
Level 2 – Emerging
Assign the corresponding numerical score
Be evidence based: Avoid aspirational scoring
Score current state only: Not planned or future capabilities
Use consensus: Discuss differences and agree as a group
Be consistent: Apply the same interpretation across all KPAs
If your organization sits between two options, select the lower score unless there is strong evidence to justify the higher level.
50, 75, 50, 25
KPA Score = (50 + 75 + 50 + 25) ÷ 4 = 50
0
Level 0 – None
1–20
Level 1 – Basic
21–40
Level 2 – Emerging
41–60
Level 3 – Advanced
61–80
Two approaches may be used:
1. Weakest Domain Approach (Recommended for decision-making)
Overall maturity = lowest domain level
Ensures balanced capability across all areas
2. Average Score Approach (Recommended for tracking progress)
Overall score = average of all domain scores
Provides a general view of maturity progression
Both perspectives should be considered together.
Strong governance without implementation
Adoption without interoperability
Focus on:
Low-scoring domains
KPAs with the greatest impact on interoperability and data quality
Areas that enable progress across multiple domains
Set realistic goals:
Short-term: Improve by one level in priority domains
Medium-term: Achieve balanced Level 3 or Level 4 maturity
Long-term: Progress toward Level 5 optimization
Level 4 – Integrated
81–100
Level 5 – Optimizing
This assessment is designed for Members (National Release Centers) responsible for national or regional SNOMED CT implementation, governance, and adoption .
It enables evaluation of:
Adoption across affiliates
Governance and strategic alignment
Stakeholder engagement
National extension management
Secondary use of SNOMED CT
The goal is to measure maturity, identify gaps, and support continuous improvement.
This KPA evaluates the extent and success of SNOMED CT adoption across a Member’s target ecosystem (e.g., healthcare providers, institutions, affiliates).
It focuses on:
Adoption coverage (how many organizations are using SNOMED CT)
Monitoring and measurement capabilities
Higher maturity indicates broad adoption supported by structured tracking and continuous improvement strategies.
How would you describe the current level of affiliate adoption of SNOMED CT in your region?
Consider what percentage of your target organizations (affiliates) are actively using SNOMED CT.
This KPA assesses the organizational structures, policies, and strategic alignment that guide SNOMED CT adoption at a national level.
It focuses on:
Governance frameworks
Roles and responsibilities
Alignment with national healthcare priorities
Higher maturity reflects well-coordinated, adaptive governance embedded in national health strategies.
Is there a formal governance structure in place for managing SNOMED CT adoption?
Evaluate how organized and structured governance and oversight mechanisms are.
This KPA evaluates how effectively the Member engages and supports key stakeholders, including:
Healthcare providers
Government bodies
Professional associations
End-users
It also assesses the availability of resources and support systems.
Higher maturity indicates active collaboration, structured engagement strategies, and strong user support ecosystems.
How engaged are stakeholders in SNOMED CT adoption efforts?
Consider the level of participation and collaboration across stakeholders.
This KPA focuses on the management of national SNOMED CT extensions, including:
Localization
Translation
Content updates
Governance of national terminology
Higher maturity reflects systematic, high-quality, and continuously evolving national content management processes.
Are processes in place for managing and updating national SNOMED CT content?
Consider governance, editorial guidelines, and update cycles.
This KPA evaluates how SNOMED CT supports secondary use of data, including:
Research
Analytics
Reporting
Decision support
Higher maturity reflects advanced analytics, AI-driven insights, and integration into national health data strategies.
How effectively is SNOMED CT being used for secondary data purposes?
Consider use in:
Research
Reporting
0
No affiliates using SNOMED CT
0
No awareness or adoption capability
1
<25% adoption
25
Limited and inconsistent uptake
2
25–75% adoption
50
Moderate progress, still scaling
3
75–95% adoption
75
Strong adoption, nearing full coverage
4
100% adoption
90
Full target population adoption
5
Advanced, continuously improved
100
Fully embedded with ongoing optimization
0
No governance structure
0
Ad hoc decision-making
1
Basic, inconsistent governance
25
Fragmented policies
2
Well-defined governance framework
50
Clear roles and policies
3
Comprehensive governance with reviews
75
Stakeholder involvement and audits
4
Continuously improved governance
90
Feedback-driven updates
5
Advanced continuous governance
100
Fully optimized governance model
0
No engagement
0
No adoption
1
Minimal engagement
5
Isolated efforts
2
Occasional engagement
25
Informal meetings
3
Structured involvement
50
Regular working groups
4
Comprehensive engagement strategy
75
Formal partnerships
5
Continuously refined engagement
100
Adaptive engagement model
0
No processes
0
No extension exists
1
Ad hoc efforts
25
Unstructured updates
2
Structured processes
50
Editorial guidelines
3
Systematic processes
75
Governance and quality assurance
4
Dynamically updated processes
90
Continuous improvements
5
Advanced ecosystem
100
Fully optimized lifecycle
Analytics platforms
Policy and decision-making
0
No secondary use
0
Only primary documentation
This assessment is designed for Vendors and Software Product Providers that develop and deliver systems incorporating SNOMED CT (e.g., EHRs, clinical platforms, decision support tools) .
It enables evaluation of:
Breadth of SNOMED CT implementation across products
Terminology management capabilities
Usability and tooling for end-users
Occasional alignment
25
Informal or inconsistent efforts
2
Documented and aligned strategy
50
Formal plans exist
3
Integrated with national initiatives
75
Embedded in healthcare programs
4
Dynamically updated strategies
90
Regular reviews and updates
5
Advanced continuous alignment
100
Fully adaptive strategic model
Basic resources
25
Limited documentation
2
Structured resources
50
FAQs and support channels
3
Comprehensive resources
75
Training + documentation
4
Continuously improved resources
90
Feedback-driven updates
5
Advanced ecosystem
100
Fully optimized support
0
No monitoring
0
No tracking mechanisms
1
Minimal monitoring
25
Limited tracking in isolated settings
2
Structured metrics tracking
50
Affiliate and hospital usage tracked
3
Monitoring supported by education initiatives
75
Training programs linked to adoption tracking
4
Dynamically improved monitoring
90
Feedback-driven improvements
5
Advanced continuous monitoring
100
Fully optimized monitoring ecosystem
0
No documented goals
0
No structured alignment
0
No resources
0
No support systems
1
Initial attempts
25
Limited impact
2
Basic analytics
50
Reporting and dashboards
3
Advanced use cases
75
Predictive analytics, CDS
4
Continuously refined
90
AI-driven insights
5
Advanced ecosystem
100
Fully optimized data use
1
1
Interoperability and data exchange
Use of analytics and decision support
The objective is to assess product maturity, ensure alignment with best practices, and support continuous improvement.
This KPA evaluates how extensively SNOMED CT is embedded across software products, focusing on:
Coverage across EHR modules
Breadth across clinical domains
Higher maturity indicates enterprise-wide, consistent integration of SNOMED CT, enabling semantic interoperability and comprehensive clinical data representation.
Across how many clinical domains is SNOMED CT currently applied?
Clinical domains include:
Diagnoses
Procedures
This KPA assesses how effectively SNOMED CT is managed, updated, and delivered within the product, including:
Update processes
Version control
Localization and user communication
Higher maturity reflects automated, reliable, and transparent terminology lifecycle management.
How effectively are SNOMED CT updates localized and communicated to users?
Includes:
Regional adaptations
Extensions
This KPA evaluates how effectively SNOMED CT is exposed to end-users through product design, focusing on:
Search functionality
Interface usability
Feedback and improvement mechanisms
Higher maturity reflects intuitive, intelligent, and adaptive user experiences that enhance usability and data quality.
How effectively is user feedback integrated to improve tool usability?
Consider:
Feedback collection
Metrics tracking
This KPA measures the ability of the product to exchange SNOMED CT-coded data across systems, ensuring:
Standards compliance
Data consistency
Interoperability readiness
Higher maturity reflects seamless, real-time, standards-based data exchange.
This KPA evaluates how SNOMED CT is leveraged within products for:
Clinical decision support
Analytics and reporting
AI-driven insights
Higher maturity reflects intelligent, data-driven systems that enhance clinical outcomes and operational efficiency.
This assessment is designed for User Organizations (e.g., healthcare providers, hospitals, government agencies) that implement SNOMED CT within their systems and workflows .
It enables organizations to evaluate:
Clinical adoption and workflow integration
Governance and strategic alignment
User capability and training
Interoperability readiness
Use of analytics and decision support
The objective is to assess maturity, identify gaps, and guide continuous improvement in clinical terminology use.
This KPA evaluates how extensively SNOMED CT is implemented across clinical areas and embedded into workflows.
It focuses on:
Breadth of adoption across departments and care settings
Depth of integration into clinical processes
Higher maturity indicates enterprise-wide adoption with deep workflow integration, supporting consistent clinical documentation and care delivery.
In how many clinical areas or care settings is SNOMED CT currently used?
Clinical areas may include primary care, emergency, radiology, pathology, pharmacy, mental health, and specialty services.
This KPA assesses the organizational structures, policies, and strategic alignment guiding SNOMED CT implementation.
It focuses on:
Governance frameworks
Roles and accountability
Strategic planning and alignment
Higher maturity reflects well-defined governance integrated into organizational and digital health strategies.
What is the state of governance structures for SNOMED CT adoption?
Consider ownership, roles, responsibilities, and oversight mechanisms supporting SNOMED CT implementation.
This KPA evaluates how well users are trained, supported, and empowered to use SNOMED CT effectively.
It focuses on:
Training programs
Knowledge dissemination
Internal champions and expertise
Higher maturity indicates a knowledgeable workforce supported by structured training and expert networks.
What level of training is provided to users on SNOMED CT?
Consider the availability, consistency, and quality of training provided to different user groups.
This KPA measures the ability to exchange SNOMED CT-coded data across systems.
It focuses on:
Data exchange capabilities
Standards alignment
Higher maturity reflects seamless, standards-based interoperability across healthcare systems.
What is the level of SNOMED CT integration for data exchange?
Consider how SNOMED CT-coded data is exchanged within and across systems, including reliability and coverage.
This KPA evaluates how SNOMED CT is used to support analytics, reporting, and clinical decision support.
It focuses on:
Clinical analytics
Reporting
Decision support systems
Higher maturity reflects data-driven healthcare supported by predictive analytics and real-time clinical guidance.
How effectively are analytics tools using SNOMED CT data?
Consider how SNOMED CT data is used for reporting, analysis, and insight generation.
Very limited – 1–2 modules
5
Pilot/testing stages
2
Partial – uneven implementation
25
Limited modules (e.g., diagnoses only)
3
Broad – several major modules
50
Used in documentation, orders, etc.
4
Comprehensive – most modules
75
Covers most functional areas
5
Fully integrated enterprise-wide
100
All modules consistently use SNOMED CT
Laboratory findings
Anatomy
Organisms
0
No
0
SNOMED CT not used
Manual and inconsistent
5
No structured process
2
Basic structured process
25
Manual effort required
3
Standardized with version control
50
Scheduled updates
4
Partially automated
75
Automated retrieval + tracking
5
Fully automated and seamless
100
Continuous deployment
0
No localization or notifications
0
No adaptation or communication
Basic and cumbersome
5
Manual browsing
2
Basic search with filters
25
Limited usability
3
Intuitive interfaces
50
Synonyms and suggestions
4
Advanced tools (NLP)
75
Intelligent search
5
AI-driven adaptive system
100
Personalized suggestions
0
No feedback tracking
0
No mechanisms
Non-standard exchange
2
Standard-based integration
50
FHIR/HL7 support
3
Monitored and optimized
75
Active management
4
Seamless real-time exchange
90
Automated processes
5
Advanced ecosystem
100
Continuous improvement
Limited integration
25
Inconsistent usage
2
Defined tools
50
Standard CDS features
3
Measured effectiveness
75
Performance tracking
4
Real-time adaptive tools
90
Dynamic recommendations
5
Advanced ecosystem
100
Continuous optimization
0
No analytics
0
No structured data use
0
No
0
SNOMED CT not used
0
No implementation
0
SNOMED CT not used
0
No implementation
0
SNOMED CT not available
0
No data exchange
0
No interoperability
1
Limited integration
0
No integration
0
No decision support
1
1
1
25
1
0
None
0
No SNOMED CT use in any clinical area
1
Limited – 1–2 areas
25
Used only in one or two departments
2
Partial – uneven coverage
50
Used in some departments but not consistently
3
Broad – several major areas
75
Used across multiple core clinical services
4
Comprehensive – most areas
90
Used in most departments
5
Fully integrated enterprise-wide
100
Used consistently across all relevant areas
0
No governance
0
No defined ownership or oversight
1
Basic governance
25
Informal or fragmented governance
2
Established frameworks
50
Defined roles and policies exist
3
Comprehensive governance
75
Formal governance with oversight mechanisms
4
Continuously improved governance
90
Governance regularly reviewed and improved
5
Advanced governance model
100
Fully optimized and adaptive governance system
0
No training
0
No training available
1
Basic, inconsistent training
25
Limited or one-off training
2
Structured programs
50
Formal onboarding training
3
Comprehensive training
75
Regular training and updates
4
Continuously improved training
90
Training improved based on feedback
5
Advanced training ecosystem
100
Continuous, role-based learning programs
0
No data exchange
0
No structured data exchange
1
Limited interoperability
25
Inconsistent or partial exchange
2
Select system integration
50
Reliable exchange in some interfaces
3
Seamless exchange
75
Standards-based interoperability
4
Continuously refined
90
Exchange processes regularly improved
5
Advanced ecosystem
100
Fully optimized, scalable interoperability
0
No analytics
0
No use of SNOMED CT data
1
Basic analytics
25
Simple reporting
2
Actionable insights
50
Supports decision-making
3
Predictive analytics
75
Trend analysis and forecasting
4
Real-time insights
90
Near real-time analytics
5
Advanced ecosystem
100
Fully optimized analytics environment
1
Single domain
5
Only one data type
2
Narrow scope
25
Few domains
3
Moderate scope
50
Several domains
4
Broad scope
75
Most domains covered
5
Comprehensive
100
All domains consistently covered
1
Limited localization
25
Inconsistent updates
2
Structured localization
50
Standard notifications
3
Systematic and proactive
75
Reliable communication
4
Real-time notifications
90
Context-aware updates
5
Advanced continuous improvement
100
Fully adaptive system
1
Occasional feedback
25
Inconsistent use
2
Feedback informs improvements
50
Regular updates
3
Metrics actively tracked
75
Data-driven improvements
4
Real-time feedback loops
90
Continuous optimization
5
Advanced continuous improvement
100
Fully adaptive system
1
Basic analytics
25
Simple reports
2
Actionable insights
50
Decision support
3
Advanced analytics
75
Predictive models
4
Real-time AI analytics
90
ML-driven insights
5
Advanced ecosystem
100
Fully optimized analytics
0
None
0
No integration into workflows
1
Minimal use (1–2 workflow areas)
25
Used in isolated processes only
2
Developing
50
Partially integrated into workflows
3
Established
75
Used in key workflows such as documentation and ordering
4
Comprehensive
90
Embedded across most workflows
5
Optimized
100
Fully embedded and continuously improved
0
No documented goals
0
No strategy or roadmap
1
Informal discussions
25
Ad hoc or informal planning
2
Documented strategy
50
Defined implementation plan
3
Reviewed and refined
75
Strategy reviewed periodically
4
Dynamically updated
90
Strategy updated based on changing priorities
5
Advanced continuous alignment
100
Fully integrated into organizational strategy
0
No support
0
No internal expertise available
1
Minimal support
25
Informal or ad hoc support
2
Identified champions
50
Designated support roles exist
3
Active champions
75
Champions actively support adoption
4
Advanced support roles
90
Dedicated terminology or support roles
5
Fully optimized ecosystem
100
Continuous expert support and knowledge sharing
0
No standards
0
No alignment with standards
1
Incomplete mappings
25
Partial or inconsistent mappings
2
Partially standardized
50
Some compliance with standards
3
Monitored and improved
75
Standards regularly reviewed and improved
4
Fully reliable processes
90
Consistent, reliable implementation
5
Advanced ecosystem
100
Fully optimized standards alignment
0
No decision support
0
No CDS capability
1
Limited tools
25
Partial or inconsistent use
2
Workflow support
50
Used in key clinical workflows
3
Measured effectiveness
75
CDS performance monitored
4
Real-time decision support
90
Context-aware guidance
5
Advanced ecosystem
100
Fully optimized CDS environment