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Observational Medical Outcomes Partnership (OMOP)
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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 | |
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| Read about the i2b2 on OMOP project | i2b2 on OMOP v5 wiki page | |
| Download the software for the i2b2 on OMOP project | i2b2 on OMOP Software Download wiki page | |
| View the | Installationinstallation document for the i2b2 on OMOP project | Installation Document |
| View additional 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 |
