Our resource library includes tools to support research, CDM implementation, and software development, as well as publications and presentations that have emerged from OHDSI-based work.
Scientific best practices are only useful if the scientific community can actually use them. Within the OHDSI community, we believe one of the best ways to ensure adoption and consistent application of scientific best practices is by embedding them in…
Standardized Data: The OMOP Common Data Model The Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) is an open community data standard, designed to standardize the structure and content of observational data and to enable efficient analyses that can…
Our work benefits a range of individuals and organizations, including patients, providers, and researchers, as well as health care systems, industry, and government agencies. This benefit is achieved by improving both the quality of healthcare data analytics as well as…
Founded in 2014, the Observational Health Data Sciences and Informatics (OHDSI, pronounced “Odyssey”) initiative grew out of the successful Observational Medical Outcomes Partnership (OMOP). OHDSI is a multi-stakeholder, interdisciplinary, open-science collaborative to bring out the value of health data through…