Observational Health Data Sciences and Informatics
| Abbreviation | OHDSI |
|---|---|
| Type | International collaborative |
| Purpose | To improve health by empowering a community to collaboratively generate evidence that promotes better health decisions and better care. |
| Headquarters | Columbia University |
Region served | International |
| Website | www |
The Observational Health Data Sciences and Informatics, or OHDSI (pronounced "Odyssey") is an international collaborative effort aimed at improving health outcomes through large-scale analytics of health data.[1] The OHDSI effort includes diverse researchers and health databases worldwide, with its central coordinating center located at Columbia University.[2]
The group was derived from the Observational Medical Outcomes Partnership (OMOP), a public-private consortium based in the
U.S. Food and Drug Administration (FDA) Amendments Act of 2007.[3][4] OMOP developed a Common Data Model (CDM), standardizing the way observational data is represented.[3] After OMOP ended, this standard started being maintained and updated by OHDSI. [1]
As of February 2024, the most recent CDM is at version 6.0, while version 5.4 is the stable version used by most tools in the OMOP ecosystem. [5]
See also
References
- ^ PMID 26262116.
- ^ "Observational Health Data Sciences and Informatics (OHDSI)". Programs in Global Health. 2020-10-23. Retrieved 2024-02-01.
- ^ PMID 22037893.
- PMID 21041580.
- ^ "OMOP CDM v6.0". ohdsi.github.io. Retrieved 2024-02-01.