The Implementation Maturity Framework (IMF) provides a consistent yet flexible model for assessing how SNOMED CT is adopted and used across the healthcare ecosystem.
The general maturity levels provide a shared foundation for assessing SNOMED CT implementation and ensure consistency across the ecosystem. However, their application varies by stakeholder, reflecting different roles, responsibilities, and objectives.
Members (National Release Centers) apply the maturity levels at a national or regional level, focusing on governance frameworks, policy alignment, infrastructure, and the breadth of adoption across affiliates and healthcare systems.
User Organizations apply the maturity levels to clinical and operational implementation, including how SNOMED CT is embedded within systems, integrated into workflows, and used to support care delivery, reporting, and decision-making.
Vendors / Software Providers apply the maturity levels to the capabilities of their products or platforms, such as terminology integration, usability, interoperability, and support for analytics and decision support.
While each stakeholder group uses tailored criteria and assessment questions, they remain aligned to the same overarching maturity scale. This ensures:
A common language for benchmarking and comparison
Alignment across the ecosystem
Support for coordinated progress toward higher maturity
This matrix below provides a side-by-side view of SNOMED CT implementation maturity across Members, User Organizations, and Vendors, using a common set of levels from None to Optimizing. It highlights how each stakeholder progresses along the same maturity scale while focusing on different responsibilities - national adoption, clinical use, and product capability.
The matrix supports comparison, alignment, and a shared understanding of how coordinated advancement across stakeholders enables effective, interoperable, and data-driven healthcare systems.
Awareness exists, informal discussions, no national program
Limited use in isolated areas, minimal workflow integration
Basic functionality in limited modules, inconsistent implementation
Level 2 – Emerging
Strategy forming, pilots underway, early governance
Use in selected departments, early workflow integration, basic training
Implemented in some modules, basic search/tools, early interoperability
Level 3 – Advanced
Expanding adoption, governance established, monitoring introduced
Regular use in key workflows, structured governance and training
Integrated across core features, improved usability, standards-based interoperability
Level 4 – Integrated
Widespread national adoption, strong governance, aligned with national strategy
Enterprise-wide implementation, interoperability, analytics and decision support
Broad implementation, advanced usability (e.g., NLP), integrated analytics and CDS
Level 5 – Optimizing
Fully optimized national ecosystem, advanced secondary use, global leadership
Fully embedded, AI-driven insights, continuous improvement
Intelligent platform, AI-driven features, real-time interoperability, continuous innovation
Level 0 – None
No national activity, no governance, no awareness
No use of SNOMED CT, reliance on free text/local codes
No SNOMED CT support, no terminology integration
Level 1 – Basic
Data increasingly used for reporting and operational insights
Measurable improvements in data quality and outcomes
Leadership in terminology management and best practices
The SNOMED CT Implementation Maturity Levels for Members (National Release Centers), highlights how adoption evolves at a national or regional level. It shows the progression from no coordinated activity to a fully optimized ecosystem where SNOMED CT is widely implemented, governed, and leveraged for advanced use. The model emphasizes how Members can progressively strengthen governance frameworks, expand adoption across affiliates, align with national health strategies, and enable interoperability and secondary use to support data-driven healthcare at scale.
This SNOMED CT Implementation Maturity Levels for User Organizations (Healthcare Providers), shows how the use of SNOMED CT evolves within clinical and operational environments. It outlines the progression from no use of standardized terminology to fully integrated, data-driven organizations where SNOMED CT is embedded across workflows, systems, and decision-making processes. The model highlights how healthcare providers can progressively enhance governance, user adoption, interoperability, and data use to support improved care delivery, analytics, and continuous improvement.
Early understanding of potential benefits, but no structured action
Exploration of infrastructure needs (e.g., terminology services, extensions)
Training programs and stakeholder engagement initiatives in place
Early interoperability initiatives emerging across systems
Measurable improvements in data quality, consistency, and exchange
SNOMED CT used for analytics, reporting, and decision-making
Strong ecosystem collaboration across stakeholders
Recognized leadership in terminology governance and international best practices
No capability to support standardized data capture or interoperability
Limited awareness and minimal use in isolated areas
SNOMED CT used experimentally or for specific use cases only
Minimal integration into clinical workflows
No structured governance, standards, or training programs
SNOMED CT used in selected departments or systems
Early integration into clinical workflows (e.g., documentation, problem lists)
Initial governance structures and guidance beginning to form
Basic training and user support introduced
Growing awareness of benefits for data quality and reporting
Regular use across key clinical workflows and systems
SNOMED CT integrated into documentation, ordering, and reporting processes
Established governance, policies, and maintenance practices
Structured training programs and user support in place
Data used for reporting, quality improvement, and operational insights
Enterprise-wide, consistent implementation across clinical areas
Seamless interoperability with internal and external systems
Strong governance with monitoring, quality assurance, and optimization
SNOMED CT actively used for analytics and clinical decision support
Measurable improvements in care quality, efficiency, and outcomes
Fully embedded use across all workflows and systems
Real-time decision support and AI-driven insights using SNOMED CT data
Continuous improvement driven by performance monitoring and feedback
High-quality, interoperable data supporting research and population health
Strong alignment with national and international standards and best practices
The SNOMED CT Implementation Maturity Levels for Vendors and Software Products provides a structured view of how terminology capabilities evolve within digital health solutions. It outlines the progression from no support for SNOMED CT to fully optimized, intelligent platforms that leverage advanced analytics, interoperability, and AI-driven features. The model highlights how vendors can incrementally enhance product functionality, usability, and integration to better support healthcare organizations in delivering high quality, standardized, and data-driven care.
No capability to support interoperability or structured data exchange
Limited SNOMED CT support with minimal functionality
Basic coding capabilities implemented in isolated modules
Inconsistent or partial implementation across the product
Limited usability and no advanced tooling or integration
SNOMED CT implemented in selected modules or features
Basic tooling available (e.g., search, selection, simple validation)
Early support for interoperability standards (e.g., basic mappings)
Initial improvements in usability and structured data capture
SNOMED CT integrated across core product features and workflows
Improved usability with structured data capture and navigation
Support for standards-based interoperability (e.g., HL7, FHIR)
Established processes for terminology updates and maintenance
Product supports reporting and basic analytics use cases
Broad and consistent implementation across all relevant modules
Advanced usability features (e.g., intelligent search, NLP, suggestions)
Integrated decision support and analytics capabilities
Optimized interoperability with external systems and platforms
Strong terminology management, versioning, and update processes
Fully integrated SNOMED CT across all product areas and functionalities
AI-driven features, personalization, and context-aware assistance
Real-time interoperability and advanced analytics capabilities
Continuous product improvement based on usage data and feedback
Leadership in innovation, supporting advanced clinical and operational use cases