OHNLP/omop_mcp

Model Context Protocol (MCP) server for mapping clinical terminology to Observational Medical Outcomes Partnership (OMOP) concepts using Large Language Models

43
/ 100
Emerging

This tool helps clinical researchers and healthcare data analysts standardize medical terms into the OMOP Common Data Model (CDM). You input clinical free-text terms or lists of terms, and it outputs standardized OMOP concept IDs, codes, names, and other relevant details. It's designed for professionals working with real-world clinical data who need to ensure consistency and interoperability.

Use this if you need to accurately and efficiently map unstructured clinical terminology from patient records or research data into the standardized OMOP format for analysis or database integration.

Not ideal if you are looking for a general-purpose natural language processing tool that isn't specifically focused on clinical terminology or OMOP standardization.

clinical-data-standardization healthcare-interoperability medical-terminology-mapping observational-research ehr-data-processing
No Package No Dependents
Maintenance 10 / 25
Adoption 7 / 25
Maturity 15 / 25
Community 11 / 25

How are scores calculated?

Stars

34

Forks

4

Language

Python

License

Last pushed

Feb 19, 2026

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/mcp/OHNLP/omop_mcp"

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