“Precision Education and the Continuously Learning Medical System”
Medical education is in the midst of a transformation fueled by new models such as competency-based accelerated tracks, greater use of technology in every aspect of teaching and assessment, and the use of analytics to drive decision-making. This presentation will discuss the application of artificial intelligence, predictive analytics, a robust data warehouse, and electronic health record data to create a continuously learning system that delivers precision education tailored to the experiences of each learner.
Marc Triola, MD, FACP
Professor of Medicine
Associate Dean for Educational Informatics
Director, Institute for Innovations in Medical Education
NYU Langone Health
NYU Grossman School of Medicine
The intended audience for this CME activity includes all practicing physicians, residents, fellows, students, nurses, pharmacists, hospital administrators, and medical school administrators.