October 8 @ 4:00 – 5:00 pm
Speaker: David Gotz, PhD
Presented from Duke University
Broadcast Link: Seminar
As the adoption rates grow for electronic medical systems, clinical institutions are amassing ever-larger collections of patient-centered data. Visual analysis techniques, designed to mine, analyze, and interactively visualize this data in the context of individual patients, are enabling new opportunities to learn from population data and deliver personalized data-driven clinical insights. This talk will provide an overview of recent work in this area and include demonstrations of some emerging prototype technologies.
David Gotz, PhD is an Associate Professor of Information Science at the University of North Carolina at Chapel Hill’s School of Information and Library Science. He also serves as Assistant Director for the Carolina Health Informatics Program (chip.unc.edu) and is an Associate Member at the UNC Lineberger Cancer Center. He is also founder and co-chair of the annual Visual Analytics in Healthcare Workshop (www.visualanalyticshealthcare.org), which will be held for the fifth time this fall in conjunction with the AMIA Annual Symposium. Dr. Gotz runs the Visual Analytics and Communication Lab (VACLab) at UNC where he leads research exploring interactive visual methods for information analysis and communication. His work explores problems from a wide variety of application domains with a primary focus on healthcare and life sciences. Prior to joining UNC in 2014, Dr. Gotz was a research scientist at IBM’s T.J. Watson Research Center where he served as technical lead for visual analytics and data analysis systems in the Department of Health Informatics Research. Dr. Gotz is a computer scientist by training, having earned his PhD in Computer Science from the University of North Carolina at Chapel Hill in 2005.