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Observational Medical Outcomes Partnership (OMOP)

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.

Anonymous. OHDSI Website


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 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
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