Bio
Dong-han Yao, M.D., is the Associate Director of Artificial Intelligence in Medical Education at Stanford University, and Clinical Assistant Professor of Emergency Medicine. Dr. Yao holds a B.A. in Molecular & Cell Biology and Immunology from University of California, Berkeley, and an M.D. from Mount Sinai School of Medicine. He completed his Emergency Medicine Residency training at University of California, Los Angeles, and his fellowship training in Clinical Informatics at Stanford University.
Dr. Yao is an invited speaker at grand rounds, national conferences, and workshops on applied generative AI and prompt engineering for both healthcare and non-clinical audiences around the country. He collaborates with the Stanford School of Medicine and Stanford Healthcare Data Science Team on both enterprise-level AI education and research, as well as co-development and evaluation of novel generative AI platforms and technologies for healthcare. His research has been published in the New England Journal of Medicine, Nature Medicine, and JAMA.
His scholarly and operational work include expanding patient access to acute care via virtual care, responsible integration of AI into medical education and the clinical continuum, and leveraging design thinking and technology to streamline physician workflow and improve patient outcomes in the emergency department. His past informatics work includes award-winning usage of mobile devices to improve the efficiency and accessibility of medical documentation during the height of the COVID-19 pandemic, creation of novel patient discharge mechanisms for academic hospital centers, and development and implementation of new interdisciplinary clinical pathways for the emergency department. Dr. Yao's clinical interests include critical care, cardiac emergencies, telemedicine, and novel care delivery models in emergency medicine.
