Benjamin Djulbegovic, M.D., Ph.D., is a professor in the departments of Hematology & Hematopoietic Cell Transplantation and Computational and Quantitative Medicine, professor and director of research in the Department of Supportive Care Medicine, and medical director of evidence-based analytics, a newly established core program at City of Hope.
His main academic and research interest lies in attempts to measure and optimize clinical research and practice of medicine by understanding both nature of medical evidence and decision-making. To this effect, his work aims to integrate methods and techniques across evidence-based medicine (EBM), predictive analytics, health outcome research and decision-sciences. The role of uncertainty and rationality in science and clinical medicine has been one of the common themes across his work, particularly evident in his analysis of equipoise and the role of regret.
Dr. Djulbegovic has systematically applied science of EBM and decision analysis to the entire fields of hematology and oncology that resulted in two books; the book on “Reasoning and Decision-making in Hematology” was listed one of the best books by the Journal of the National Cancer Institute and the book “Decision Making in Oncology. Evidence-based Management” was assessed as “one of the first and best attempts to apply an evidence-based approach to the practice of medical oncology.”
As of September 2017, he has published 310 papers in peer-review journals, 190 abstracts and numerous book chapters. He also received several awards for his work, which has also been published in major scientific and medical journals including Nature, Lancet, JAMA, New England Journal of Medicine, etc. He has also widely taught on these subjects. During last 20 years, Dr. Djulbegovic has received continuous external funding by both federal and private entities. He was also selected in Newsweek’s list of "Top Cancer Doctors" and since 2011 continuously selected in the top 1% of U.S. doctors by U.S. News & World Report in the field of hematology.
