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Informatics Research Seminar: From Medical Big Data to a Learning Health System
October 4 @ 4:00 pm - 5:00 pm UTC+0
Speaker: Michael Pencina, PhD
Presented from Duke University
Broadcast Link: Seminar
The availability of medical “big data” creates an unprecedented opportunity to improve patient care and health system effectiveness. Creation of a truly learning health system requires a team science approach built on collaboration between clinical, data, analysis and implementation subject matter experts. In this presentation we illustrate how various data sources and analytic techniques can be used to address questions in a pragmatic manner. We focus on the use of electronic health records with modern analytic techniques including machine learning methods and illustrate their applications with concrete examples from the Duke Health System.
Dr. Michael Pencina is a Professor of Biostatistics and Bioinformatics at Duke University and Director of Biostatistics at Duke Clinical Research Institute. He serves as a key institutional leader overseeing the strategic and operational direction of the biostatistics talent and resources at the DCRI. Dr. Pencina has authored more than 150 manuscripts that have been published in peer-reviewed journals, and has co-authored over 140 publications in peer-reviewed journals and is an expert in risk prediction model development. He is also actively involved in the design, conduct and analysis of clinical trials in the fields of cardiovascular disease outcomes, medical devices and psychiatry, interacting with investigators from various academic and industry institutions and with the Food and Drug Administration. He has been an invited speaker at numerous national and international symposia and workshops. Dr. Pencina serves as an Associate Editor of Statistics in Medicine and statistical reviewer for Circulation and has been a reviewer for other leading journals in biostatistics and medicine, including the New England Journal of Medicine, JAMA and Biometrics.
The Informatics Research Seminar Series is sponsored by Duke University and a collaboration with UNC-Chapel Hill, NCCU, UNC-Charlotte, and ECU. This series explores key areas in Health Informatics and include research results, overview of programs of research, basic, applied, and evaluative projects, as well as research from varied epistemological stances.