William Stead, M.D.

William Stead, M.D.Associate Vice Chancellor for Health Affairs
Chief Strategy & Information Officer

Dr. Stead has worked at the intersection of informatics and clinical practice for 40 years. He established the Vanderbilt University Informatics Center in 1991, and his team has developed novel approaches to information infrastructure that reduce cost to implement and barriers to adoption. The resulting enterprise-wide electronic patient chart and communication/decision support tools support his current focus on system-supported, evidence-based practice and research leading toward personalized medicine.

Dr. Stead received his B.A. and M.D. from Duke University, where he also completed training in Internal Medicine and Nephrology.

Dr. Stead is a Founding Fellow of both the American College of Medical Informatics and the American Institute for Engineering in Biology and Medicine, and an elected member of both the Institute of Medicine of the National Academies and the American Clinical and Climatological Association. He was the first recipient of the Lindberg Award for Innovation in Informatics and the 2007 recipient of the Collen Award for Excellence in Medical Informatics. He was the founding Editor-in-Chief of the Journal of the American Medical Informatics Association, and served as President of the American Association for Medical Systems and Informatics and the American College of Medical Informatics. He served as Chairman of the Board of Regents of the National Library of Medicine, as a Presidential appointee to the Commission on Systemic Interoperability, and as Chair of the National Research Council Committee on Engaging the Computer Science Research Community in Health Care Informatics. He is a member of the Council of the Institute of Medicine and of the Department of Health and Human Services’ National Committee on Vital and Health Statistics.

"The Diagnostic Mentor Team at Vanderbilt personalizes medicine by bringing together evidence-based test utilization and summative interpretive reporting in a rapid learning system.  Each sample we process using this innovative approach iteratively improves the capability."