Python package for managing OHDSI clinical data models. Includes support for LLM based plain text queries, MCP server and FHIR import.

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

Data2Evidence is an end-to-end solution for management and analysis of OMOP data - https://data2evidence.org

Repository for Disease Progression Modeling workbench 360 - An end-to-end deep learning model training framework in python on OMOP data

An ETL pipeline to transform your EMP data to OMOP.

OHDSI Ananke - A Tool for Mapping Between OHDSI Concept Identifiers to Unified Medical Language System (UMLS) identifiers

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 repository contains the 2nd edition of the Book

R SDK for OMOP/OHDSI vocabularies - query 9M+ medical concepts across SNOMED, ICD-10, RxNorm, LOINC & 90+ terminologies via simple API

This repo contains analysis performed for paper "A comparative patient-level prediction study in OMOP CDM – insights from study on synthetic data".

:whale2: OHDSI stack Docker configuration

No description provided.

Repository for the OHDSI Open Source Community workgroup

Python SDK for OMOP/OHDSI vocabularies - query 9M+ medical concepts across SNOMED, ICD-10, RxNorm, LOINC & 90+ terminologies via simple API

GORM models and APIs for CDM v 6.0

Update Usagi mappings with kotobuki

The OMOP CSV Validator is a CLI tool that validates CSV files against JSON schemas generated from OMOP Common Data Model (CDM) DDL fiiles

A Python data class representation of the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM)

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 to treat breast cancer.

A curated list of awesome OHDSI tools, packages, and resources for OMOP CDM

OHDSI data processor used to generate various features from EHRs (Electronic Health Records). It was developed and deployed for EHR Morbidity DREAM Challenge.

Some scratch work looking at cohort_era logic in OHDSI

tool to facilitate the setup and ongoing maintenance of OHDSI & EHDEN tool deployments

Instructions for integrating OHDSI and Broadsea with InterSystems IRIS

No description provided.

SQLAlchemy Declarative Mapping Models for OHDSI OMOP CDM

OMOP cohort creation SQL