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
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.
Pure Julia implementation of the OMOP Common Data Model (CDM)
This repo contains analysis performed for paper "A comparative patient-level prediction study in OMOP CDM – insights from study on synthetic data".
Repository for the OHDSI Open Source Community workgroup
This repository contains the 2nd edition of the Book
ATLAS is an open source software tool for researchers to conduct scientific analyses on standardized observational data
Transformation from PRIAS to the OMOP CDM
A Population level estimate (PLE) cohort study with prior A Cohort Diagnostics study to determine the feasibility using non-identifiable data mapped to the OHDSI Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) to evaluate the risk of adverse musculoskeletal events in post-menopausal women taking AI compared to tamoxifen…
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