Event box
2020 Research Data Series: UCSF De-Identified Clinical Data Warehouse in Epic-based and OMOP Format and Its Use for Research In-Person
De-identified Clinical Data Warehouse and OMOP
Presented by: Research Data Team (IT ARS and BCHSI Information Commons): Rick Larsen, Eugenia Rutenberg, Evan Phelps, Brian Chan, Dima Lituiev, Hunter Mills, Oksana Gologorskaya, Ellen Clary
Description: This session will feature an overview of the structured de-identified UCSF research data assets, De-Identified Clinical Data Warehouse, and De-Identified OMOP. We will go over data pipelines, general scope, structure, and limitations of each data asset, as well as support resources available for the UCSF research community. We will then illustrate the use of the DEID CDW and OMOP data with a few research use cases.
Important Notes
This is an online event. A link to join will be sent by email 1 hour prior to the event.
Registrations close 1 hour prior to the event.
Events may be recorded.
Slides and recordings will be made available to registrants within 24 hours (see link below).
For More Information
Visit data.ucsf.edu/RDS.
- Date:
- Friday, Aug 21 2020
- Time:
- 2:00pm - 3:00pm
- Time Zone:
- Pacific Time - US & Canada (change)
- Location:
- Virtual
- Categories:
- Special Event
Event Organizer
- Bakar Computational Health Sciences Institute (BCHSI)
- Clinical & Translational Science Institute (CTSI)
- Institute for Global Health Sciences (IHGS)
- Population Health Data Initiative (PHDI)
- School of Medicine Technology Services (SOM Tech)
- UCSF Library
- UCSF Information Technology
- Philip R. Lee Institute for Health Policy Studies (IHPS)