Dr. Selker is Dean of the Tufts Clinical and Translational Science Institute (CTSI) that includes 43 organization: 8 Schools of Tufts University; 9 Tufts affiliated hospitals in Massachusetts and Main, 10 clinical and academic organizations (including three other universities); 11 community-based organizations (including the Boston Museum of Science); 2 health plans (Blue Cross Blue Shield of Massachusetts and the Tufts Health Plan); and 5 industry partners (including Millennium Pharmaceuticals locally and Pfizer nationally). He also is Professor of Medicine at Tufts University School of Medicine, Executive Director for the Institute for Clinical Research and Health Policy Studies and Director of the Center for Cardiovascular Health Services Research at Tufts Medical Center where he is Chief of the Division of Clinical Care Research in the Department of Medicine and Director of the MS/PhD Graduate Program in Clinical Research at Tufts Sackler School of Graduate Biomedical Sciences. He has served on boards and as an officer for a variety of professional and educational organizations, including in 2003-2004 as President of the Association for Clinical Research Training and will be President of the Society for Clinical and Translational Science for 2010-11. He maintains his medical practice at the Pratt Diagnostic Clinic at Tufts Medical Center.
Dr. Selker’s research focuses on factors that affect clinical care and its outcomes and the development of treatment strategies, decision aids, and methods and systems aimed at improving medical care, especially emergency and cardiac care. Dr. Selker is particularly known for a series of studies of the factors influencing emergency cardiac care and for development of cardiac “predictive instruments,” decision aids that provide emergency physicians with predictions of key outcomes for real-time use in the clinical setting. In addition to research involving clinical care, a significant portion of Dr. Selker’s activities focus on fundamental issues of clinical study design, data analysis, combination of clinical data, and mathematical models that predict clinical outcomes.