Clinical Data Colloquium
For Researchers

Wednesday, May 10th
Mission Bay Conference Center




Sponsored by:









UCSF Library

Join us for an informative half day event on the ins and outs of accessing, using and storing the clinical data available for research at UCSF. Attendees can expect to gain a broad understanding of the clinical data resources available at UCSF, how they fit together and the appropriate uses of each resource. Guidance on access and approval processes will also be shared, as well as an explanation of the skills required to use each resource. This is a must-attend colloquium for anyone whose research requires clinical data!

Wednesday, May 10, 2017
Mission Bay Conference Center, Robertson Auditorium
1675 Owens Street, Mission Bay Campus


A light breakfast will be served.


Opening Remarks
Atul Butte, MD, PhD, Director, UCSF Institute for Computational Health Sciences

Overview of UCSF Clinical Data Available for Research

Data Sources and Tools
a. De-Identified data
b. Multi-institution
c. Identified data
d. Case study
e. Additional data rescources coming soon

Access Process
a. Apply for access
b. Use the tools
c. Request a service
d. Consultation information

Data Use / Storage
a. Programming skills
b. Platforms for sharing, storing & analyzing data sets

Feedback & Q&A Session on Data Sources

Closing Remarks
Mark Pletcher, MD, MPH, Director, Informatics and Research Innovation, UCSF Clinical & Translational Science Institute

Post-Event Breakout Session: EHR Sandbox - 12:30pm
The Center for Digital Health Innovation team is planning an EHR “sandbox” environment that our faculty, staff, and students could use to test and demonstrate external software applications that exchange data in real-time with the EHR.  This sandbox will utilize technologies such as SMART, FHIR, OAuth, and Web Services to enable data exchange with our EHR. Please join us if you think that such a sandbox would be useful to you. We are interested in meeting with you to learn more about what you would like to see out of such an EHR sandbox and how you would imagine using it.