David Kong, MD

David Kong

Duke University Medical Center and Duke Clinical Research Institute, Durham, NC
Scientific Oversight Committee Member, MDEpiNet


Background

Dr. Kong is an Associate Professor of Medicine at Duke University Medical Center and Co-Director of the Cardiovascular Late Phase 3 and Devices Unit at the Duke Clinical Research Institute. An interventional cardiologist at Duke Hospital and a faculty member in the Duke Center for Healthcare Informatics, Dr. Kong specializes in cardiovascular informatics research and integration of evidence from cardiovascular clinical trials. Dr. Kong graduated magna cum laude from Harvard University, where he also received a master’s degree in Organismic and Evolutionary Biology. He received his medical degree from the Johns Hopkins University School of Medicine, and was a resident on the Osler Medical Service at the Johns Hopkins Hospital. He completed fellowships in Cardiovascular Disease and Interventional Cardiovascular Medicine at Duke University before joining the Duke faculty. Dr. Kong is board certified in internal medicine, cardiology, and interventional cardiology. He is a Certified Diver Medic and Master Diver, and has been elected Fellow of the American College of Cardiology and the Society for Cardiovascular Angiography and Interventions. Dr. Kong’s experience with the Duke Cardiovascular Diseases Database (DCCD) began in 1985 and includes development and validation of statistical models for coronary disease outcomes. He has written user interfaces for the prognostigram software that incorporates multiple statistical models for use for decision support and education.

Dr. Kong has conducted systematic overviews of glycoprotein IIb/IIIa receptor antagonists, direct thrombin inhibition, and coronary stenting; construction of virtual placebo arms for evaluation of active-control clinical studies; and comparative-effectiveness analyses. He has directed the Machine Learning group at the Duke Clinical Research Institute, with evaluation of neural network and rule induction modeling strategies for predicting clinical and cost outcomes in coronary artery disease. In 2003, he received a Faculty Award from International Business Machines Corporation (IBM) in recognition of his outstanding research. Recent work includes development of a National Cardiovascular Research Infrastructure, a clinical investigator network based upon the data collection and informatics activities of the American College of Cardiology National Cardiovascular Data Registries (ACC-NCDR.) The NCRI facilitates interoperable clinical research by streamlining site operations, harmonizing cardiovascular data standards, and improving the interactions between clinical research subjects, clinician investigators, expert guidelines committees, and policymakers.