Overcoming AI Implementation Challenges at the University of Michigan Health System – Healthcare AI Pioneers
Jesse chats with Dr. Andrew Wong, Research Fellow at the National Clinician Scholars Program Institute at the University of Michigan Institute for Healthcare Policy and Innovation and Clinical Instructor in the Department of Internal Medicine at the University of Michigan, and Dr. Mike Burns, Associate Professor of Anesthesiology and Associate Chief Medical Information Officer for AI at the University of Michigan. Together, they discuss what led Michigan to report on the underperformance of Epic’s sepsis prediction model, considerations for health systems as they look to set up a structure for AI governance, market diversity and competition in today’s clinical AI sector, the University of Michigan Health System’s AI workflow from model output to clinician decision support to measurable patient benefit, how model implementation can influence workflow, thresholds for healthcare AI models and acceptable trade-offs for clinicians, guardrails to prevent harm and what to monitor after go-live, and much more.
Headline
OpenAI publishes wish list for healthcare AI.
Resource Link
American Hospital Association releases a list of resources on AI and machine learning.
About Our Guests
Dr. Andrew Wong
Dr. Andrew Wong is a Research Fellow at the National Clinician Scholars Program Institute at the University of Michigan Institute for Healthcare Policy and Innovation and Clinical Instructor in the Department of Internal Medicine at the University of Michigan.
Dr. Wong’s research applies AI and machine learning to solve problems in clinical practice, hospital operations, and medical education. His expertise in the development and validation of provider-facing AI tools to aid in clinical diagnosis and prognostication has been applied to sepsis prediction, delirium prevention, antibiotic stewardship, and more. His focus in post-implementation AI governance has sought to safely integrate clinical AI tools in an effective and equitable manner. His work has been nationally recognized and was recently cited in the White House Blueprint for an AI Bill of Rights.
Dr. Mike Burns
Dr. Michael Burns is an Assistant Professor of Anesthesiology and serves as the Assistant Director of Informatics and Data Analytics. Within Michigan Medicine, Dr. Burns serves as the Associate Chief Medical Informatics Officer (ACMIO) of Artificial Intelligence. He is the Chair of the Clinical Intelligence Committee (CIC), providing governance and support for AI tools (prediction models, machine learning models, and artificial intelligence algorithms) associated with clinical decision systems.
He also serves as Assistant Director for Implementation Operations within Precision Health, with goals to 1) develop fundamental social, medical, computational, and engineering science; 2) translate these basic science discoveries into promising treatments that are evaluated in partnership with Michigan Medicine patients and regional health systems; and 3) evaluate and increase the public health impact of effective therapies, working with community health systems, policy makers, and payers to implement these therapies nationally.
After completing his undergraduate degrees in Chemical Engineering and Microbiology at the University of Michigan in 2003, Dr. Burns received his PhD from University of Wisconsin in 2009 in Chemical and Biological Engineering. He then completed his medical training at the Feinberg School of Medicine at Northwestern University in 2012 before residency training in Anesthesiology and fellowship in Data Analytics and Informatics at the University of Michigan. He also completed an NIH T32 research fellowship sponsored by the Department of Anesthesiology at University of Michigan.