April 13 @ 4:00 – 5:00 pm
Speaker: Amar Das, MD, PhD
Presented from Duke University
With the widespread deployment of Electronic Health Records and subsequent use of data from ‘real world’ patient care, clinical investigators have unprecedented opportunities in ‘real-time’ population science. In this talk, I will present research that examines patterns of care in longitudinal cohort data. I will focus on collaborative efforts to analyze data collected on breast cancer care at Stanford Hospital & Clinics and the Palo Alto Medical Foundation. I will show how epi-informatics approaches to data integration, treatment comparisons, and network analysis can reveal how care delivery relates to clinical factors.
Dr. Das is currently Assistant Professor of Medicine and of Psychiatry and Behavioral Sciences at Stanford University. He is a member of the faculty in the Stanford Center for Biomedical Informatics Research and the Stanford Biomedical Informatics training program. His work focuses on advancement of semantic technologies to support temporal reasoning, data integration, and collaborative systems in healthcare and clinical research. Dr. Das received his BA from Northwestern University and his MD and PhD degrees from Stanford University. He completed his medical residency and postdoctoral training in clinical epidemiology at Columbia University. Dr. Das has been named a Health Services Research Scholar by the American Psychiatry Association, and also received a Pharmaceutical Research and Manufacturers of America (PhRMA) Research Foundation Starter Award in Informatics.