Leslie Lenert, MD

Dr. Lenert is Associate Professor of Medicine at the University of California, San Diego, and Staff Physician and Researcher at the Veterans Administration San Diego Healthcare System. His educational background includes a BS degree in biomedical sciences from the University of California, Riverside, an MD from the University of California, Los Angeles, and an MSc degree in medical information sciences from Stanford University. His clinical training includes a residency in internal medicine at the University of Texas Southwestern School of Medicine and a post-doctoral fellowship in clinical pharmacology at Stanford University School of Medicine. Prior to moving to his current position, Dr. Lenert was an Assistant Professor of Medicine in the Division of Clinical Pharmacology of the Department of Medicine at the Stanford University. Dr. Lenert's research has focused on the development and use of computer software to measure patients' health values and preferences. An important facet of this work are studies exploring differences in the values of stakeholders of medical decisions, such as patients, health care providers, and others. When values differ greatly, medical decisions on every level, from individual to societal, can be impaired. Other work includes development of computer methods for characterizing the ìvalidityî of elicitations of preferences and for repair of apparent errors in elicitations. Dr. Lenert has received awards that include second prize in the postdoctoral division of the AMIA Student Paper Competition, a National Research Service Award, a Henry Christian Award for Excellence in Clinical Research, and a Faculty Development Award from the Pharmaceutical Manufacturer's Association Research Foundation. An active member of AMIA since the late 1980s, Dr. Lenert served on the Program Committee for the 1998 and 2001 meetings and is currently the Chair of the Publications Committee. He is a member of the editorial boards of JAMIA, the Journal of Biomedical Informatics, and Medical Decision Making and a member of the AHRQ Health Care Quality and Effectiveness Research Study Section.