Maturity Assessment for User Organizations
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.
KPA: Scope of SNOMED CT Implementation
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.
Clinical Areas
Question
In how many clinical areas or care settings is SNOMED CT currently used?
Context
Clinical areas may include primary care, emergency, radiology, pathology, pharmacy, mental health, and specialty services.
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
Clinical Workflows
Question
How extensively is SNOMED CT embedded in clinical workflows and processes?
Context
Workflows include clinical documentation, orders, procedures, care plans, reporting, and decision support.
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
KPA: Governance and Strategy
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.
Governance Structure
Question
What is the state of governance structures for SNOMED CT adoption?
Context
Consider ownership, roles, responsibilities, and oversight mechanisms supporting SNOMED CT implementation.
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
Strategic Alignment
Question
Are strategic plans for SNOMED CT documented and reviewed?
Context
Consider alignment with organizational priorities, digital health strategies, and clinical transformation initiatives.
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
KPA: User Proficiency and Training
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.
Training Programs
Question
What level of training is provided to users on SNOMED CT?
Context
Consider the availability, consistency, and quality of training provided to different user groups.
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
User Support / Champions
Question
Are there champions or proficient users to support SNOMED CT adoption?
Context
Consider whether there are designated individuals or roles that promote, support, and guide SNOMED CT use.
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
KPA: Interoperability
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.
Data Exchange
Question
What is the level of SNOMED CT integration for data exchange?
Context
Consider how SNOMED CT-coded data is exchanged within and across systems, including reliability and coverage.
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
Interoperability Standards
Question
Are interoperability processes aligned with national or international standards?
Context
Consider the use of recognized standards and consistency of implementation across systems.
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
KPA: Analytics and Decision Support
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.
Analytics Tools
Question
How effectively are analytics tools using SNOMED CT data?
Context
Consider how SNOMED CT data is used for reporting, analysis, and insight generation.
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
Decision Support
Question
Are decision support tools integrated with SNOMED CT?
Context
Consider how SNOMED CT is used within clinical decision support systems and workflows.
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
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