Can Big Data be Used for Comparative Effectiveness Research?
Data sets in medicine and health care are becoming larger and considerably more complex, meeting the definition of Big Data. The idea has been advanced that such data can be used to compare forms of therapy and inform medical decision making. While this is at times possible, there are considerable challenges in doing so. This presentation serves as a primer on the use of Big Data for comparative effectiveness research.
Dr. Weintraub is an internationally recognized clinician-scientist with extensive leadership in multi-center clinical trials, health status assessment, health care economics, informatics and advanced analytic methods. He was one of the first in cardiovascular medicine to develop an economic analysis alongside clinical trials. Dr. Weintraub is a Professor of Medicine at Thomas Jefferson University and adjunct Professor of Health Sciences at University of Delaware. He is the primary investigator for numerous grants, including the Delaware CTR-ACCEL program, a five-year, $20 million grant from the National Institutes of Health to support clinical and translational research, and serves as director of the Clinical Research Design, Epidemiology and Biostatistics Core for the program.
The Innovative Discoveries Series, sponsored by the Delaware Clinical & Translational Science ACCEL program and the Christiana Care Value Institute, features informal presentations on topics relevant to current research and healthcare practice, led by knowledgeable and experienced presenters. There are offerings for researchers, healthcare providers, and community members of varying levels of experience.
These free talks are held Fridays at noon at Christiana Hospital but can be viewed from your home or office computer. Earn CMEs by participating in-person or online. Lunch is served and all are welcome to attend.
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Contact Sarahfaye Dolman at sarahfaye.f.dolman@christianacare.org with any questions.