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Build Trusted AI Workflows with Structured Knowledge
ReasonHub provides clinical reasoning FHIR operations and vectorized embeddings with both REST and MCP APIs to enable safe, standards-aligned AI use cases grounded in computable healthcare content.
Built for AI-Ready Healthcare Content
Connect your clinical knowledge to AI workflows with standards-based operations, semantic indexing, and APIs for computable content.
Computable FHIR
Execute clinical logic with standards-based FHIR terminiology and clinical reasoning operations for decision support and care planning
MCP
Connect computable content directly to LLM workflows with MCP (Model Context Protocol) for safe, structured AI integration
Vectorized Embeddings
Leverage vectorized embeddings for SNOMED CT, ICD-10, and other code systems for semantic search
Find Clinical Content Before You Reinvent It
Clinical teams often duplicate effort building ValueSets, PlanDefinitions, and Measures that already exist in the organization. ReasonHub's RAG-powered semantic search understands clinical intent and context - not just keywords - to help you discover reusable artifacts across your knowledge base. Search by disease state, intervention type, or clinical concept and instantly find similar content, related resources, and consolidation opportunities. Build on existing work instead of starting from scratch every time.
Validate FHIR Content in Real-Time with MCP-Enabled Tools
Traditional authoring workflows wait until deployment to catch errors, wasting time on validation cycles. ReasonHub exposes deterministic FHIR operations and semantic search through Model Context Protocol (MCP), enabling your IDE, CLI, or authoring UI to validate content as you create it. Verify ValueSet expansions, check ConceptMap translations, validate CQL expressions, and confirm artifact dependencies in real-time - catching conformance and logic errors at authoring time, when they're easiest to fix.
Ready to Build AI-Powered Clinical Workflows?
Let's show you how ReasonHub enables safe, computable AI applications grounded in structured healthcare knowledge.