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by OHNLP • Data & Databases
A Model Context Protocol server that maps clinical terminology to OMOP concepts using LLMs for standardization and validation.
Map free-text or source clinical terms to OMOP concept IDs and receive concept metadata and justification.
Validate or audit existing terminology mappings against OMOP vocabularies and flag non-standard or invalid mappings.
Search OMOP vocabulary and convert between clinical coding systems (e.g., prioritize SNOMED, LOINC, RxNorm) for integration into ETL workflows.
An open-source MCP server that uses large language models to map, validate, and search clinical terminology against the OMOP vocabulary. It provides a find_omop_concept tool to convert between coding systems (e.g., LOINC, SNOMED, RxNorm), validate mappings, and return concept metadata and rationale. Integrates with agents (e.g., Claude Desktop) and supports configuration for Azure/OpenAI; benefits include faster concept standardization and improved interoperability for clinical data pipelines.
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