Dr. Sussman’s research focuses on improving the personal tailoring of medical decisions, particularly for the prevention and treatment of cardiovascular disease and diabetes. He is especially interested in how risk prediction and decision analysis can be used with implementation science, and clinical policy to improve clinical practice and patient-centered care. His work on risk prediction has examined the use of Big Data in clinical care. His work on health policy looks at quality measurement as a tool of implementation science. He has used large datasets, randomized trials, survey research, and qualitative study designs.
- M.D., University of California, San Francisco
- M.Sc., Health and Health Care Research, University of Michigan
- M.Sc., Health and Medical Sciences, University of California, Berkeley
- B.A., Biology, Amherst College
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