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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  
Registration has closed.

Event Organizer

Profile photo of UCSF Research Data Guild
UCSF Research Data Guild
  •     Bakar Computational Health Sciences Institute
  •     Clinical & Translational Science Institute
  •     Department of Epidemiology & Biostatistics
  •     Institute for Health Policy Studies
  •     School of Medicine Technology Services
  •     UCSF Library

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