The Observational Medical Outcomes Partnership (OMOP) is a public-private partnership designed to help improve the monitoring of drugs for safety. The partnership is conducting a two-year initiative to research methods that are feasible and useful to analyze existing healthcare databases to identify and evaluate safety and benefit issues of drugs already on the market.
Attend OMOP's Tutorial - Biomedical Informatics Tools for Preparing Observational Data for Active Surveillance and Outcomes Research on October 12, 2010 being offered at DIA's Investing in Biomedical Informatics for Drug Development and Health Care conference.
The OMOP Research Team has posted additional methods and updates in the OMOP Methods Library. (login required)
Interest is growing within the healthcare community to learn how to leverage OMOP's data model, tools, and observational methods. Become an OMOP Extended Consortium participant to learn more about implementing the observational methods on our next web conference scheduled for August 27, 2010 at 10:00 am EDT.
If you are interested in becoming an OMOP Extended Consortium participant, subscribe (or login) to the OMOP website and click Extended Consortium for details.
OMOP Specifications for Implementation of Standard Vocabularies in Observational Data Analysis is now available on the OMOP website. It documents how OMOP implemented various vocabularies for observational data analysis as part of the OMOP Common Data Model within the Research Lab (containing Thomson Reuters MarketScan® databases and GE Centricity®) and across the OMOP Distributed Research Partners. For additional content and documentation go to OMOP Standard Terminologies (log-in required).