Michael Pfeffer and Nigam Shah

Dean Lloyd Minor welcomes Michael Pfeffer, MD, chief information and digital officer at Stanford Health Care, and Nigam Shah, MBBS, PhD, the health system’s chief data scientist, for a conversation about how AI is being used to augment health care. They explore how AI is helping clinicians access troves of data to inform patient care and how it’s helping ease their clerical burden, allowing more time for meaningful interactions with patients. They also discuss the guardrails in place to protect privacy and ensure reliability, as well as what is needed to scale AI tools to benefit as many patients as possible.

Michael Pfeffer and Nigam Shah

Michael Pfeffer, MD, is the chief information and digital officer at Stanford Health Care and associate dean for the Stanford School of Medicine. He oversees Stanford Medicine’s Technology and Digital Solutions division, which supports the School of Medicine and adult health care system. Dual-board certified in clinical informatics and internal medicine, Pfeffer is a clinical professor in Stanford’s department of medicine with a joint appointment at the Center for Biomedical Informatics Research, which focuses on applying and translating data to advance health care. He previously served as the assistant vice chancellor and chief information officer at UCLA Health Sciences. Under his leadership UCLA Health IT received multiple industry awards, including the Analytics Stage 7 Inpatient Award from the Healthcare Information and Management Systems Society (HIMSS). At UCLA, Pfeffer also implemented and served as the associate program director of the Clinical Informatics Fellowship Program. Pfeffer holds a bachelor’s degree in chemical engineering from Brown University and a medical degree from Cornell University.

Nigam Shah, MBBS, PhD, is the chief data scientist at Stanford Health Care, associate dean for research in the School of Medicine, and a professor of biomedical informatics and data science. A co-director of Stanford’s Center for Artificial Intelligence in Medicine (AIMI), he leads Stanford Health Care’s AI and data science efforts, and heads a research group that analyzes data to generate insights and predictive models for patient health. Shah is an inventor on eight patents and has co-founded three companies, including Atropos Health, which provides insights from troves of patient data to support clinical decision making. He was elected to the American College of Medical Informatics in 2015 and inducted into the American Society for Clinical Investigation in 2016. Shah sits on the board of directors of the Coalition for Health AI, a national organization focused on guiding the responsible use of AI in health care. He holds an MBBS from Baroda Medical College in India and a PhD in molecular medicine from Pennsylvania State University.

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