Knowledge Graph

Healthcare data lacks context. We fix that.

IMO Health’s Knowledge Graph connects clinical language, concepts, and codes into a unified context layer – so data can be understood, trusted, and used.

Image depicting a knowledge graph

Healthcare data is fragmented and often lacks the nuance AI models need for accurate interpretation and action.

[ How it works ]

Move from broad concepts to precise clinical meaning

IMO Health’s Knowledge Graph is the foundation of everything we do – connecting terminology and clinical concepts derived from real-world EHR data to create a deterministic clinical context layer.

Example of Diabetes in the Knowledge Graph
Example of Type 1 Diabetes in the Knowledge Graph
Example of Type 1 diabetes mellitus with circulatory complication in the Knowledge Graph
Example of Type 1 diabetes mellitus with diabetic peripheral angiopathy with gangrene in the Knowledge Graph

[ THE IMO HEALTH DIFFERENCE ]

The clinical context layer healthcare data has been missing.

Built on 30 years of clinical expertise, our Knowledge Graph preserves the context, connections, and meaning traditional data models lose - creating a deterministic foundation for healthcare data.

Narrow image of the knowledge graph

Comprehensive clinical knowledge, at scale

Millions of concepts, relationships, and mappings derived from real-world clinical data.

Clinical meaning, fully represented

Real-world clinical language, concepts, and codes are consistently defined, connected, and aligned to reflect true clinical intent.

Continuously maintained, clinically governed

Continuously updated and reviewed by clinical experts to reflect evolving medical knowledge, coding standards, and regulatory requirements.

[ HEAR FROM AN EXPERT ]

How clinical knowledge graphs improve healthcare AI

Watch Vidhya Sivakumaran discuss the importance of knowledge graphs in healthcare.

[ Resources ]

Latest resources

Decentralizing clinical AI value creation with MCP
Article
Grounding clinical AI with knowledge graphs
Article
Knowledge graphs in healthcare: Use cases, challenges, and key benefits
Article

Ready for AI that actually understands healthcare?

Stop guessing. Build on clinically grounded context from the start.