Les séminaires de recherche sur les systèmes de santé présentent : « Improving Medical Treatment Decisions for Type 2 Diabetes »

Brian Denton, Ph. D.
Department of Industrial & Systems Engineering
North Carolina State University

Jeudi le 26 novembre 2009
14 h à 16 h
Pavillon Desmarais
DMS 7170

À propos de la présentation (en anglais seulement)

According to the American Diabetes Association, there are more than 20 million children and adults in the United States (approximately 7% of the population) who have diabetes. Of the affected population, more than 90% have type 2 diabetes. Type 2 diabetes is associated with long-term complications that affect almost every part of the body including cardiovascular disease, kidney failure, blindness, limb amputation, and neurological disorders. Currently, several risk models exist to predict the probability of complications related to type 2 diabetes. These models serve as a valuable guide to clinicians for establishing the importance of treatment; however, there has been no investigation of how to use these risk models to make optimal treatment decisions. In this talk I will discuss a Markov decision process for optimal timing of medical treatment decisions over the course of a patient’s lifetime. I will present a model and describe results based on a longitudinal data set from a 10-year study at the Mayo Clinic in Rochester, MN. I will also talk about future directions and opportunities for research in supporting medical decision-making in diabetes and other chronic diseases.

À propos du conférencier (en anglais seulement)

Brian Denton is an Assistant Professor at North Carolina State University in the Edward P. Fitts Department of Industrial & Systems Engineering. Previously he has been a Senior Associate Consultant at Mayo Clinic in the College of Medicine, and a Senior Engineer at IBM. He is currently a Fellow at the Cecil Sheps Center for Health Services Research at University of North Carolina, and holds a visiting research appointment at Mayo Clinic. His primary research interests are in optimization under uncertainty as it relates to applications in health care delivery and medical decision making. He has won the National Science Foundation (NSF) Career Award (2008), Institute for Operations Research and Management Science (INFORMS) Daniel H. Wagner Prize (2005), the Institute of Industrial Engineers (IIE) Outstanding Publication Award (2005), and the Canadian Operations Research Society (CORS) Best Paper Award (2000). He has co-authored more than a dozen scientific articles, and holds 9 patents with the U.S. Patent and Trademark Office. He completed his Ph.D. in Management Science, his M.Sc. in Physics, and his B.Sc. in Chemistry and Physics at McMaster University in Hamilton, Ontario, Canada

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