Python package for managing OHDSI clinical data models. Includes support for LLM based plain text queries, MCP server and FHIR import.
Data2Evidence is an end-to-end solution for management and analysis of OMOP data - https://data2evidence.org
Model Context Protocol (MCP) server for mapping clinical terminology to Observational Medical Outcomes Partnership (OMOP) concepts using Large Language Models
Repository for Disease Progression Modeling workbench 360 - An end-to-end deep learning model training framework in python on OMOP data
OHDSI Ananke - A Tool for Mapping Between OHDSI Concept Identifiers to Unified Medical Language System (UMLS) identifiers
An ETL pipeline to transform your EMP data to OMOP.
A set of document templates facilitating efficient implementation and operation of an OMOP/OHDSI installation
PSDL — Patient Scenario Definition Language: portable, reproducible clinical scenario and cohort definitions over OMOP CDM. Part of the Prometheno open-protocol stack (HAVEN · PSDL · VERITAS).
Examples of exploring synthetic healthcare data from the Agency for Healthcare Research and Quality in the United States Department of Health and Human Services, and MITRE Corporation.
FHIR R4 → OMOP CDM v5.4 mapping spec + ELT runtime (profile-gated, ViewDefinition-driven). 28 edges, 28 profiles, 8 ValueSets, 6.4M-concept Athena vocab loader.
Pure Julia implementation of the OMOP Common Data Model (CDM)
MCP server for OHDSI OMOP medical vocabularies. Search, map, and navigate 11M+ concepts (SNOMED, ICD-10, RxNorm, LOINC) from any AI agent.
Python SDK for OMOP/OHDSI vocabularies - query 11M+ medical concepts across SNOMED, ICD-10, RxNorm, LOINC & 120+ terminologies via simple API
This repository contains the 2nd edition of the Book
R SDK for OMOP/OHDSI vocabularies. Query 11M+ medical concepts across SNOMED, ICD-10, RxNorm, LOINC & 90+ terminologies via simple API
An end-to-end clinical data pipeline mapping FHIR to OMOP CDM v5.4. Features DuckDB, RAG-driven semantic mapping, Human-in-the-Loop governance, and OHDSI DQD validation.
ETL pipeline to map clinical trial data from the CDISC standard (SDTM/ADaM) to the OMOP Common Data Model (CDM), enabling the integration of clinical research with Real-World Evidence (RWE).
Repository for the OHDSI Open Source Community workgroup
This repo contains analysis performed for paper "A comparative patient-level prediction study in OMOP CDM – insights from study on synthetic data".
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