About this Class

Abstract: Data sharing is essential for the acceleration of science, but privacy concerns need to be addressed before clinical data can be properly shared for research. I will briefly introduce the main issues in clinical data sharing, as perceived by researchers and patients, and describe how a combination of privacy technology (i.e., methods that make it difficult to identify a specific patient whose data are going to be shared) and policy can help strike a balance between data utility for researchers and privacy protection for the patient and healthcare institutions. Speaker: Lucila Ohno-Machado, MD, PhD, MBA Professor of Medicine Chair, Department of Biomedical Informatics Associate Dean for Informatics and Technology University of California San Diego Join ZoomGov Meeting https://nih.zoomgov.com/j/1617561452?pwd=bE5YOVgrL2tHbFZidUJQOWZzdGlpZz09 Meeting ID: 161 756 1452 Passcode: 586729 One tap mobile +16692545252,,1617561452#,,,,,,0#,,586729# US (San Jose) +16468287666,,1617561452#,,,,,,0#,,586729# US (New York) Dial by your location +1 669 254 5252 US (San Jose) +1 646 828 7666 US (New York) Meeting ID: 161 756 1452 Passcode: 586729 Find your local number: https://nih.zoomgov.com/u/ayFfvRtd4 Join by H.323 161.199.138.10 (US West) 161.199.136.10 (US East) Meeting ID: 161 756 1452 Passcode: 586729 ***** To follow the NIAID Data Science Interest Group, subscribe to the listserv by sending an email to LISTSERV@LIST.NIH.GOV with the following text in the message body (Replace “FirstName/LastName” with your name): subscribe NIAID-DATASCIENCE-INTEREST-GROUP FirstName LastName ****** For questions, please contact Steve Tsang <steve.tsang@nih.gov>