Observational Medical Outcomes Partnership

The Observational Medical Outcomes Partnership (OMOP) was a public-private partnership established to inform the appropriate use of observational healthcare databases for studying the effects of medical products. Over the course of the 5-year project and through its community of researchers from industry, government, and academia, OMOP successfully achieved its aims to: 1) conduct methodological research to empirically evaluate the performance of various analytical methods on their ability to identify true associations and avoid false findings, 2) develop tools and capabilities for transforming, characterizing, and analyzing disparate data sources across the health care delivery spectrum, and 3) establish a shared resource so that the broader research community can collaboratively advance the science. The results of OMOP's research have been widely published and presented at scientific conferences, including dedicated Symposia and Face-to-Face meetings.

Important: OMOP is no longer an active project.

It ended with the 2013 Annual Symposium.

However, the OMOP Legacy continues...

Observational Health Data Sciences and Informatics (OHDSI) has been established as a multi-stakeholder, interdisciplinary collaborative to create open-source solutions that bring out the value of observational health data through large-scale analytics. The OHDSI collaborative includes all of the original OMOP research investigators, and will develop its tools using the OMOP common data model and vocabulary. Learn more at: http://ohdsi.org‏/

The community continues to actively use the OMOP Common Data Model and Standardized Vocabularies for their observational research purposes. The original OMOP tools used for the OMOP Experiment are no longer supported, but all new developments continue to be available at our Github repositories for free to anyone as Open Source.

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