> For the complete documentation index, see [llms.txt](https://docs.snomed.org/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.snomed.org/snomed-ct-practical-guides/implementation-maturity-framework-guide/understanding-and-progressing-maturity/progressing-to-higher-maturity-levels-user-organizations.md).
# Progressing to Higher Maturity Levels (User Organizations)
This section provides guidance for User Organizations (e.g., healthcare providers) on how to progress between maturity levels.
Progression typically involves moving from isolated clinical use cases to enterprise-wide integration and data-driven care.
***
## Moving from Level 0–1 (None / Basic) to Level 2 (Emerging)
### Typical Situation
• SNOMED CT used in isolated workflows\
• No governance or strategy\
• Limited training
### Key Actions
• Establish ownership and governance\
• Define implementation goals\
• Expand to additional clinical areas\
• Provide basic training
### Outcome
→ Structured but limited organizational adoption
***
## Moving from Level 2 (Emerging) to Level 3 (Advanced)
### Typical Situation
• Use across several departments\
• Inconsistent workflows\
• Limited interoperability
### Key Actions
• Standardize use across departments\
• Embed SNOMED CT into workflows\
• Strengthen governance\
• Improve training and support
### Outcome
→ Consistent use across key clinical processes
***
## Moving from Level 3 (Advanced) to Level 4 (Integrated)
### Typical Situation
• Broad adoption\
• Workflow integration underway\
• Limited data use
### Key Actions
• Integrate across systems\
• Improve data quality and consistency\
• Expand interoperability\
• Introduce analytics and reporting
### Outcome
→ Fully integrated organizational use
***
## Moving from Level 4 (Integrated) to Level 5 (Optimizing)
### Typical Situation
• Integrated systems\
• Reliable data\
• Limited optimization
### Key Actions
• Implement real-time analytics\
• Enhance decision support\
• Continuously improve workflows\
• Use data for performance improvement
### Outcome
→ Data-driven, continuously improving care delivery
***
## Key Success Factors
• Clinical engagement\
• Strong governance\
• Workflow integration\
• Effective use of data
***
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