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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) Common 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.The data models of i2b2 and OMOP have many similarities.  We take advantage of these similarities to construct an evolution of the i2b2 software that is able to adapt to the OMOP data model.   This adaption of i2b2 allows the query formulation Application Programming Interface (API) to be implemented over an OMOP data source.  Therefore, most of the functionality of i2b2 Software is preserved on OMOP data sources, and as a result the SHRINE and SMART-on-FHIR tools that rely on the i2b2 API are also able to run on the OMOP data model. 

 

I Want to...Where to Find it
Read about the i2b2 on OMOP projecti2b2 on OMOP v5 wiki page
Download the software for the i2b2 on OMOP projectSoftware for i2b2 on OMOP wiki page
View the installation document for the i2b2 on OMOP projectInstallation Document
View information about the OMOP-CDM collaborativeObservational Health Data Sciences and Informatics (OHDSI) website
View information about the OMOP Common Data Model (CDM)OMOP CDM page on OHDSI website