Nov 2, 5:00 pm .. 6:30 pm
LV systolic function
Dr. Jordan Strom is Instructor in Medicine at Harvard Medical School and a non-invasive cardiologist, specializing in echocardiography and cardiovascular magnetic resonance imaging at Beth Israel Deaconess Medical Center. He received his B.S. in Biology from Yale University and an M.D. from Harvard Medical School, before subsequently training in Internal Medicine at the Massachusetts General Hospital and in Cardiovascular Medicine at Beth Israel Deaconess Medical Center where he was Chief Fellow for the 2017-2018 year. He received additional post-graduate training in Clinical Epidemiology and Biostatistics at the Harvard T.H. Chan School of Public Health, receiving an M.Sc. in Epidemiology in May 2018
Dr. Strom was the inaugural fellow and is currently a junior faculty investigator at the Richard A. and Susan F. Smith Center for Outcomes Research in Cardiology. His research involves evaluation of the relationship of cardiac structure and function to health outcomes. In particular, he specializes in the use of large administrative, registry, and clinical trial data to develop tools to help clinicians assess and communicate the risk and benefit of interventions across a variety of cardiovascular diseases, particularly valvular heart disease. Additionally, his research involves evaluating the impact of public policies and structures of care on health outcomes and the comparative effectiveness of different treatment strategies. He has received grant funding for this work from the American Heart Association and the National Institutes of Health and his publications have been featured in such journals as JACC: Interventions, European Heart Journal, and the Annals of Internal Medicine. He is an upcoming member of the Editorial Board of the Journal of the American Society of Echocardiography and the ACC representative to the Board of Directors of the Joint Review Committee on Education in Diagnostic Medical Sonography. Additionally, he is a member of the inaugural class of the American Society of Echocardiography’s Leadership Academy, the ASE Twitter Journal Club Task Force, and the ImageGuideEcho Research and Publications Committee
His methodological expertise spans epidemiologic and biostatistical methods, including advanced statistical regression, longitudinal analysis, supervised and unsupervised machine learning techniques, survival analysis, decision analysis, and advanced prediction modeling. He is also interested in using translational techniques such as molecular phenotyping with metabolite and proteomic profiling to discriminate risk and benefit among cardiovascular disease patients. He has expertise in prediction of cardiac disease states, assessment of treatment effect heterogeneity, comparative effectiveness research, large database analysis, epidemiologic study design, and use of validated patient-reported outcome measures.