MACHINE LEARNING & AI: A HIMSS EVENT
LAS VEGAS, NV - MARCH 5, 2018
Dr. Roy Smythe is Chief Medical Officer for our Global Healthcare Informatics (HI) business group. As a physician, innovator, strategist and author, Roy has deep clinical knowledge and a wealth of experience in leading clinical and technological innovation programs supporting integrated health systems in their transition to value-based care.
In his role as Chief Medical Officer for HISS, Roy’s clinical and business knowledge ensures Philips informatics solutions support customer requirements for optimized care paths and improved patient outcomes. His personal goal has always been to contribute to meaningful change in healthcare delivery.
Roy became part of the Philips team in 2016. Prior to Philips, He held the position of Chief Medical Officer at Valence Health, a U.S.-based value-based care technology and service provider, and was formerly Chief Medical Officer at Avia, a provider-led healthcare technology accelerator – both based in Chicago.
He is the former Medical Director for Innovation for Baylor Scott & White Healthcare (2011) – an integrated delivery system. Prior to this he was The Roney Endowed Chair and Professor of Surgery, Medicine and Molecular Medicine (2006), and also Chairman of the Department of Surgery at Baylor Scott & White Health System and for the Texas A&M Health Science Center College of Medicine (2004) – the most comprehensive health science center in Texas.
He began his clinical career as a surgeon and translational scientist at the University of Texas M.D. Anderson Cancer Center.
Roy compliments these distinctions with a ‘Certificate of Innovation and Strategy’ from the MIT Sloan School of Business.
He is also author of more than 300 papers, abstracts, and essays in academic, literary, and humanities, with recent publication in Modern Healthcare, DISCOVER Magazine, Forbes Healthcare, and Pharma Panel. Roy is an invited lecturer in local, regional, national and international academic, business and technology forums.
The use of advanced computing techniques have been around for some time and utilized in various ways to augment human intelligence and perception, but the use of more sophisticated artificial intelligence and machine learning approaches in clinical medicine is nascent. While it is important to control the general public’s expectations of medical miracles, the fears of those in medicine regarding job security, and the general hype surrounding these techniques, the future impact on medicine and health could be incredible. One of the byproducts will the perpetual global clinical trial, with potential importance to the world’s populations well beyond healthcare.