Prediction model to improve PrEP prescribing: lessons learned from implementation
Session Description
During this talk, Dr. Krakower will discuss their recent paper “Implementing an Automated Prediction Model to Improve Prescribing of HIV Preexposure Prophylaxis.” on prediction models to improve PrEP prescribing, the development of a clinical decision support tool that embeds such a model, and lessons learned from the implementation of the tool in community health centers.
Video Recording*
(*Missing the initial part of the video)
Speakers
Douglas Krakower, MD
Dr. Krakower is a faculty member in the Division of Infectious Diseases at Beth Israel Deaconess Medical Center, a Research Scientist at The Fenway Institute, and an Assistant Professor of Medicine and Population Medicine at Harvard Medical School. His research focuses on ways to optimize HIV prevention in healthcare settings, with a focus on implementing HIV pre-exposure prophylaxis (PrEP). At the Department of Population Medicine, Dr. Krakower and colleagues use predictive analytics to identify candidates for PrEP using electronic health record data.
