Observational Medical Outcomes Partnership (OMOP)
The Observational Health Data Sciences and Informatics (or OHDSI, pronounced "Odyssey") program is a multi-stakeholder, interdisciplinary collaborative to bring out the value of health data through large-scale analytics.
Anonymous. OHDSI Website
The legacy i2b2 data model is comprised of a central fact table (observation_fact) surrounded by multiple dimension tables (star schema). In the Observation Medical Outcomes Partnership (OMOP) Common Data Model (CDM) rather than a central fact table, we have a collection of them distinguished by domain: procedures, condition, drug, measurement, observation, etc. In this project, we modify the CRC to run queries against multiple domain fact tables as dictated by the metadata.
| I Want to... | Where to Find it |
|---|---|
| Read about the i2b2 on OMOP project | i2b2 on OMOP v5 wiki page |
| Download the software for the i2b2 on OMOP project | Software for i2b2 on OMOP wiki page |
| View the installation document for the i2b2 on OMOP project | Installation Document |
| View information about the OMOP-CDM collaborative | Observational Health Data Sciences and Informatics (OHDSI) website |
| View information about the OMOP Common Data Model (CDM) | OMOP CDM page on OHDSI website |
