Daniel Benjamin Mark, MD

Dr. Mark is a clinical cardiologist with the rank of Professor of Medicine (with tenure) as well as Vice Chief for Academic Affairs in the Division of Cardiology, Department of Medicine at Duke University Medical Center. He is also the Director of Outcomes Research at the Duke Clinical Research Institute. He has been on the full-time faculty at Duke since 1985. Prior to that he completed his cardiology fellowship at Duke, his residency and internship at the University of Virginia Hospital, and received his medical degree from Tufts University and his Master’s degree from Harvard. In 1998, he was given the honor of being elected to the American Society for Clinical Investigators and in 2002 he was honored by election to the Association of American Physicians. These organizations are the two most prestigious honor societies in academic medicine. In 2009, Dr. Mark was awarded the American College of Cardiology Distinguished Scientist Award.

Dr. Mark's major research interests include medical economics and quality of life outcomes, outcomes research, and quality of medical care. Currently, Dr. Mark is directing a number of outcomes analyses for ongoing clinical trials including PROMISE (anatomic versus functional testing for coronary artery disease, NIH), CABANA (catheter ablation versus antiarrhythmic drug therapy for atrial fibrillation, NIH), ISCHEMIA (percutaneous coronary intervention versus optimal medical therapy for moderate-severe ischemia), and STICH (CABG +/- ventricular reconstruction versus medical therapy for ischemic heart disease, NIH). He was the principal author of the AHCPR Unstable Angina Guidelines and is a co-author of both the American College of Cardiology Guideline on Exercise Testing and their Coronary Stent Consensus Guideline. He is also the Editor of the American Heart Journal. Dr. Mark has published over 270 peer-reviewed articles, two books, and 80 book chapters. He lectures widely in the US, as well as in Canada, South America, and Europe.

Keywords: cost-effectiveness analysis, disease management, quality of life assessment, resource use.