Revolutionizing Education in Emergency Medicine: Unleashing the Power of Artificial Intelligence
The potential for AI to revolutionize approaches to education in emergency medicine (EM) is profound, reflected in the recent explosion of interest and literature exploring its use. Important preliminary applications have included leveraging machine learning and natural language processing: 1) to facilitate recruitment (via Chatbots) and selection (through holistic review of applicants to residency and fellowship); 2) to provide precision education (through personalized content recommendations, tailored learning experiences, intelligent tutoring systems, and virtual patient simulators); and 3) to improve assessment of and for learning (by tracking competency progression, providing predictive analytics, enhancing feedback, and automating case and procedure logs.) The presenters will draw on their recent experience conducting a systematic review of AI applications in medical education, as well as their personal experience implementing AI, to provide a summary of current applications and innovations most relevant to EM, highlighting their strengths, weaknesses and future directions. Participants will leave with an enhanced understanding of the current landscape of AI applications in medical education, preparing them to adapt, innovate and lead this technological revolution in their home programs. This didactic will also lay a foundation for a future consensus conference exploring this topic.
Presenters:
- Michelle Daniel, MD, MHPE
- Maxwell Spadafore, MD
- Mary R. C Haas, MD, MHPE
- Carl Preiksaitis, MD
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Michelle Daniel, MD, MHPE
University of California San Diego
Dr. Michelle Daniel is Vice Dean for Medical Education and Professor of Clinical Emergency Medicine at the University of California, San Diego School of Medicine. She obtained her medical degree from Johns Hopkins Medical School in 2002 and completed her emergency medicine residency at Johns Hopkins Hospital in 2005. She subsequently obtained her Masters in Health Professions Education from Maastricht University in the Netherlands. Dr. Daniel is an internationally known scholar in medical education and well-published in the field. She is an Associate Editor for Medical Teacher and co-chairs the Best Evidence in Medical Education (BEME) Collaboration Council. Her current scholarly interests include clinical reasoning, systematic reviews, AI and well-being.
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Maxwell Spadafore, MD
EM Resident
University of Michigan
Dr. Spadafore is a PGY4 and Chief Resident in emergency medicine at the University of Michigan Medical School. He completed his M.D. at the University of Michigan in 2020. He has a background in computer science and has expertise in educational informatics. His research interests focus on machine learning and natural language processing in medical education.
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Mary R. Haas, MD, MHPE
University of Michigan
Dr. Mary Haas, MD, MHPE, is Assistant Professor, Medical Education Fellowship Director, and Assistant Director of Clinical Faculty Development in the Department of Emergency Medicine at the University of Michigan. She also serves as Co-Director of the Leadership Development Program and faculty of the Doctoring program at the University of Michigan Medical School. She completed her undergraduate education at the University of Pennsylvania, medical school at Loyola University Chicago Stritch School of Medicine, emergency medicine residency and medical education fellowship including a Master of Health Professions Education at the University of Michigan. She served as Assistant Residency Director for 5 years. She has taught and mentored learners across the continuum through these roles. Her scholarly interests include collaborative writing, scholarship in medical education, faculty development, feedback and assessment, and the use of technology for education. She has published and spoken nationally on these topics. Her mission as an educator is to foster robust communities of practice that leverage collaboration and mentorship to amplify learning and ultimately advance the field.
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Carl Preiksaitis, MD
Clinical Instructor
Stanford University
Dr. Carl Preiksaitis is a Medical Education Fellow and Clinical Instructor in the Department of Emergency Medicine at Stanford University. Dr. Preiksaitis completed his medical training at New York University School of Medicine and a residency in emergency medicine at Stanford. His scholarly interests include digital technology and medical education, reproductive healthcare in the emergency department, and healthcare innovation. He is currently pursuing a master’s degree in medical education at the University of Cincinnati.