Brian W. Patterson, MD, MPH
BerbeeWalsh Department of Emergency Medicine, School of Medicine and Public Health, University of Wisconsin-Madison
Biography
Dr. Patterson is a tenured associate professor. He serves as Administrative Director for Clinical AI at UW Health and Medical Director for Predictive Analytics on the UW Health Informatics teams. In these roles, Dr. Patterson works with hospital leadership to define artificial intelligence (AI) strategy, governance, and development. He has led efforts to develop predictive analytics and machine learning algorithms, as well as large language model (LLM) tools that have improved patient care and provider well-being.
In addition to his administrative roles, Dr. Patterson runs an active research program within the Department of Emergency Medicine, where he directs the Emergency Care Systems Lab. His personal research interests are in clinical informatics and geriatric emergency medicine. Through his work, Dr. Patterson aims to generate actionable using routinely collected clinical data to improve the quality and safety of emergency care for older adults. To achieve these goals, Dr. Patterson works in collaboration with investigators across UW–Madison, including the Wisconsin School of Business, College of Engineering, and the Department of Biostatistics and Medical Informatics. His current work focuses on automated risk scoring to identify older adults at high risk for falling after emergency department visits and automating referral to interventions to prevent future falls.
In addition to his administrative roles, Dr. Patterson runs an active research program within the Department of Emergency Medicine, where he directs the Emergency Care Systems Lab. His personal research interests are in clinical informatics and geriatric emergency medicine. Through his work, Dr. Patterson aims to generate actionable using routinely collected clinical data to improve the quality and safety of emergency care for older adults. To achieve these goals, Dr. Patterson works in collaboration with investigators across UW–Madison, including the Wisconsin School of Business, College of Engineering, and the Department of Biostatistics and Medical Informatics. His current work focuses on automated risk scoring to identify older adults at high risk for falling after emergency department visits and automating referral to interventions to prevent future falls.
