What drew you to MiCHAMP?
The opportunity to meet with a cross-disciplinary group of leading academics who were all interested in understanding how better use of data could improve healthcare.
What specific expertise do you bring to MiCHAMP?
I’m a primary care doctor, clinical epidemiologist, and health services researcher. Clinically, I’m interested in the management and prevention of common diseases, particularly heart attack, stroke, and diabetes. For my research I think a lot about how newer statistical methods could improve clinical decisions and how we can implement those findings in clinical practice.
What are your research interests and how do they tie into MiCHAMP?
I am interested in how risk prediction can improve clinical practice. Risk prediction is one of the core uses of Big Data. Many people think it will tremendously improve healthcare, but there’s less certainty about how it will do that. Figuring that out is my interest.
Yadlowsky S, Hayward RA, Sussman JB, McClelland RL, Min Y, Basu S. Clinical Implications of Revised Pooled Cohort Equations for Estimating Atherosclerotic Cardiovascular Disease Risk. Ann Intern Med. 2018;169:20–29. doi: 10.7326/M17-3011. (PubMed)
DeJonckheere M, Robinson CH, Evans L, Lowery J, Youles B, Tremblay A, Kelley C, Sussman JB. Designing for Clinical Change: Creating an Intervention to Implement New Statin Guidelines in a Primary Care Clinic. JMIR Hum Factors 2018;5(2):e19. doi: 10.2196/humanfactors.9030. (JMIR)