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.

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.

[ THE IMO HEALTH DIFFERENCE ]

The clinical context layer healthcare data has been missing.

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

Making AI appropriately specific with a grounded clinical knowledge graph

See how a clinically grounded Knowledge Graph helps AI determine the right level of diagnostic specificity without going beyond the evidence.

Why clinical activity data is Pharma’s next commercial advantage

Pharma is investing heavily in activation, but most commercial data arrives too late. Learn why visibility into emerging demand matters.

How Abridge uses IMO Health’s clinical Knowledge Graph

Discover how a prominent AI-native company uses IMO Health's Knowledge Graph to move faster while centering product logic and the clinician experience.

[ FAQS ]

Still have questions? Let's get them answered.

Click to explore our Knowledge Graph FAQs or contact us for more information. We’re happy to help.

How do knowledge graphs support healthcare AI

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.

What makes IMO Health’s Knowledge Graph different from static code sets or generic ontologies?

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.

What kinds of use cases can the Knowledge Graph support?

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.

How can developers access the Knowledge Graph?

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.

[ POINT OF CARE WORKFLOW ]

[ DATA QUALITY MANAGEMENT ]