Grand Rounds : Schedule 2017-2018

Ross J. Scalese, MD

Ross J. Scalese, M.D. is Associate Professor of Medicine at the University of Miami (UM) Miller School of Medicine and Director of Educational Technology Development at the Gordon Center for Research in Medical Education.

Dr. Scalese received his undergraduate degree from Princeton University and the M.D. degree from the University of Pennsylvania School of Medicine. He completed residency training in Internal Medicine in the U.S. Air Force and served more than seven years on active duty as an internist and flight surgeon. In 2000 Ross began work at the UM/Jackson Memorial Medical Center, and in 2003 he joined the full-time faculty of the Gordon Center, where he completed a Research Fellowship in Medical Education. He maintains board certification in Internal Medicine and is a Fellow of the American College of Physicians.

Dr. Scalese is active clinically and as a teacher of medical students and residents, as well as physician assistant and nursing students, particularly in the areas of cardiology and clinical skills. At UM’s medical school Ross serves on the Executive Faculty Curriculum Steering Committee, co-directs major competency assessment programs, and is a founding Fellow of the Academy of Medical Educators.

Dr. Scalese’s research focuses on innovative uses of simulation for competency-based training, and he has a special interest in the development and implementation of simulations for assessment. Ross has served on test material development committees of the National Board of Medical Examiners in the U.S., and for more than a decade collaborated with the Royal College of Physicians of Canada to incorporate simulations into their high-stakes national certification exams.

Dr. Scalese has been an invited speaker at numerous international conferences addressing topics related to simulation-based health professions education. He has co-authored some of the most frequently cited papers in the field, including the Best Evidence Medical Education (BEME) Collaboration systematic review on features of high-fidelity simulation that lead to effective learning.