James Tcheng, MD

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Duke University Medical Center and Duke Clinical Research Institute, Durham, NC
Professor of Medicine

Scientific Oversight Committee, MDEpiNet
BUILD Initiative


Background

James E. Tcheng, MD is a Professor of Medicine, Department of Medicine, Division of Cardiology, and Professor of Community and Family Medicine (Informatics), Department of Community and Family Medicine of the Duke University School of Medicine.  Dr. Tcheng received his MD degree from the Johns Hopkins University School of Medicine (Baltimore, MD) and completed his residency in medicine at Barnes Hospital / Washington University (St. Louis, MO). He completed fellowship training in cardiology at Duke University and joined the faculty of Duke in 1988.

Dr. Tcheng is a practicing interventional cardiologist and faculty of the Duke Clinical Research Institute (DCRI) and the Duke Center for Health Informatics (DCHI). He serves as Director of the Duke Cardiovascular Databank and Director of Performance Improvement for the Duke Heart Center. He previously was the Medical Knowledge Architect responsible for the implementation of clinical decision support across the Duke Health System. He is currently faculty of the Medical Device Epidemiology Network (MDEpiNet) Coordinating Center of the DCRI. In addition, he is Chair of the Informatics and Health IT Task Force of the American College of Cardiology, is a member of the ACC National Cardiovascular Data Registry Management Board, and the ACC/AHA Task Force on Clinical Data Standards. He is an accomplished educator and is the 2015 recipient of the Duke Master Clinician / Teacher award.

Dr. Tcheng has led a number of informatics initiatives spanning professional societies, regulatory and other government agencies, industry, and non-governmental organizations to develop clinical data standards, interoperability solutions, and to integrate structured reporting into clinical workflows. His current work focuses on harmonizing the clinical definitions and informatics of cardiovascular clinical data elements across academia, regulatory agencies, the life sciences industry, professional societies, and standards organizations, to improve the capture, communication, interoperability, and analysis of healthcare information.