What is OHDSI?
OHDSI (Observational Health Data Sciences and Informatics) enables large-scale evidence generation from observational health data—while keeping patient-level data local.
- Standardize data with the OMOP Common Data Model
- Run standard analytics locally behind each institution’s firewall
- Share only aggregated results to support privacy and governance
We are a multi-stakeholder, interdisciplinary collaborative spanning many disciplines (e.g., clinical medicine, biostatistics, computer science, epidemiology, life sciences) and user groups (e.g., researchers, patients, providers, payers, regulators).
How the OHDSI approach works (high level)
Why the OHDSI approach works
Federated analyses across sites worldwide; execute locally and combine results.
Reusable pipelines reduce time and effort to answer new questions.
Open-source tooling + a common model improves transparency and consistency.
Old-school vs OHDSI
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The key building blocks of OHDSI
Standardized data
The OMOP Common Data Model harmonizes EHR, claims, and registry data into a consistent structure. Standardized vocabularies enable semantic interoperability, making heterogeneous data comparable and analyzable with the same tools.
OMOP Common Data Model
Specification, tables, conventions, documentation.
Standardized vocabularies (Athena)
Browse and download vocabularies.