Page History
| Document Properties Marker | ||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ||||||||||||||||||||||||||||||||
|
Observational Medical Outcomes Partnership (OMOP)
| Quote External | ||||||
|---|---|---|---|---|---|---|
| ||||||
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. |
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) Clinical 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 | OMOP 5 | ||
Download the latest version of the OMOP Software | OMOP Software | software for the i2b2 on OMOP project | Software Download page |
| View the Installation document for the i2b2 on OMOP projectView the i2b2-OMOP Installation Document | Installation Document | ||
| Additional View additional information about the OMOP-CDM collaborative |
