Features

This is an opportunity for accessing several ultra-large scale health databases for data mining research purposes. Thanks, David

Call For Participation: Implementing Observational Analysis Methods, due July 3

Foundation for the National Institutes of Health

Observational Medical Outcomes Partnership (OMOP)

The Observational Medical Outcomes Partnership (http://omop.fnih.org) is a public-private partnership designed to help improve the monitoring of drugs for safety. The partnership began in Q4-2008 and is conducting a two-year research initiative to determine the contribution and utility of using existing healthcare databases to identify and evaluate safety issues of drugs already on the market.

The Observational Medical Outcomes Partnership (OMOP) is initiating this call for participation to identify potential resources, tools, and skills to develop and execute analysis code within the OMOP Research Lab. Respondents should have experience in methods implementation and / or development for observational analyses and execution of each code set for each method.

The OMOP Research Lab provides the core IT infrastructure needed to support research conducted using OMOP licensed data, including several multi-million person health databases. The Research Lab provides OMOP researchers with access to data, statistical analysis tools and a methods library. Data access is provided by standard tools, e.g. SAS, SQL, Oracle Discoverer, and others. The Methods Library provides the capability to import and store methods for use against the OMOP data. Methods will be developed to execute against the OMOP Common Data Model, and will be made publicly available to the broader research community.

All project results will be made public in accordance with the public health mission of the partnership. These will include comprehensive reports on scientific and technical findings, lessons learned, and peer-reviewed articles on the experimental findings by our sponsored investigators.

Individuals and organizations that have existing programming code for an analysis method, are interested in implementing an existing method, or have an idea for a novel approach for identifying non-specified conditions or monitoring of Health Outcomes of Interest (10 HOIs under study in OMOP: Angioedema, Aplastic Anemia, Acute Liver Injury, Bleeding, GI Ulcer Hospitalization, Hip Fracture, Hospitalization, Myocardial Infarction, Mortality after Myocardial Infarction, and Renal Failure) are invited to submit a proposal for consideration. Please review the Specifications for Observational Analysis Methods document at http://omop.fnih.org/?q=node/68 and then provide a description of your method

Deadline: July 3rd, 2009