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Observational Medical Outcomes Partnership (OMOP)

Quote External
source-urihttps://www.ohdsi.org/
know-date03/22/2017
sourceOHDSI Website

The Observational Health Data Sciences and Informatics (or OHDSI, pronounced "Odyssey") program is a multi-stakeholder, interdisciplinary collaborative to bring out the value of health data through large-scale analytics.

 

The legacy i2b2 data model is comprised of a central fact table (observation_fact) surrounded by multiple dimension tables (star schema). In the Observation Medical Outcomes Partnership (OMOP) Clinical Data Model (CDM) rather than a central fact table, we have a collection of them distinguished by domain: procedures, condition, drug, measurement, observation, etc. In this project, we modify the CRC to run queries against multiple domain fact tables as dictated by the metadata.

 

I Want to...Where to Find it
Read about the i2b2 on OMOP projectOMOP 5

Download the latest version of the OMOP Software

OMOP Software

software for the i2b2 on OMOP project

Software Download page
View the Installation document for the i2b2 -on OMOP Installation DocumentprojectInstallation Document
Additional View additional information about the OMOP-CDM collaborative

Observational Health Data Sciences and Informatics (OHDSI)

OMOP Common Data Model