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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.

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

Without this specificity, AI becomes unreliable and produces inconsistent results.

[ How it works ]

Move from broad concepts to precise clinical meaning

IMO Health’s Knowledge Graph is the foundation of everything we do, built on 30 years of clinical expertise to create a deterministic layer for healthcare data.

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.

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 ]

Understanding knowledge graphs in healthcare

Watch Vidhya Sivakumaran discuss their impact on accuracy and reliability.

[ Resources ]

Latest resources

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

Still have questions? Let's get them answered.

Click to explore our clinical trials FAQs or contact us if you don’t see yours. We’re happy to help.

Knowledge graphs give AI systems clinically grounded context, helping them preserve meaning across clinical workflows, reduce ambiguity, and produce outputs that are more consistent, explainable, and trustworthy. For clinical AI, this context layer helps connect fragmented information and preserve clinical meaning across applications.

Unlike static reference content, IMO Health’s Knowledge Graph reflects real-world clinical language, clinical terminology, and documentation patterns, with concepts, relationships, and mappings continuously maintained by clinical experts.

IMO Health’s Knowledge Graph can support AI development, clinical data normalization, interoperability in healthcare, analytics, clinical documentation workflows, and applications that need to understand clinical meaning beyond surface-level terms or codes.

Developers can access the Knowledge Graph through options designed to fit modern AI architectures, including direct query access and tools that allow applications or agents to retrieve clinically grounded context from a trusted context layer.

Ready for AI that actually understands healthcare?

Stop guessing. Build on clinically grounded context from the start.
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Knowledge Graph
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[ POINT OF CARE WORKFLOW ]

Problem lists and documentation

IMO Core

Surgical scheduling and OR efficiency

IMO Core Periop

Procedure documentation and coding

IMO Core Procedure

IMO Core global

[ DATA QUALITY MANAGEMENT ]

Data standardization and NLP

IMO Precision Normalize

Value set management

IMO Precision Sets

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