Healthcare AI Pioneers

Improving Lean Methodology and Clinical Analysis at UCSF and ZSFG

Jesse chats with Dr. Christopher (Toff) Peabody, Associate Clinical Professor of Emergency Medicine at the University of California San Francisco, Founder and Director of the UCSF Acute Care Innovation Center, and Associate Chief Medical Officer for Performance Excellence at Zuckerberg San Francisco General Hospital; and Dr. Lucas Zier, Interventional Cardiologist and Pulmonary Hypertension Specialist at ZSFG and UCSF Health. Together, they discuss the implementation of an LLM embedded in ZSFG's lean performance improvement process, how combining lean methodology with an LLM works in practice, overcoming data quality challenges with the LLM, a predictive model for readmissions for heart failure, a generative AI tool that summarizes patients' social and behavioral determinants of health, closing the gap between what a clinician intuitively knows they want from an AI tool and what they can actually articulate precisely enough for a developer to build, and much more. Jesse also reflects on this key headline: NBC News investigation reveals OpenEvidence is now used by approximately 65% of U.S. physicians. In our Resource Link segment, we list one valuable resource you might want to check out. To view this link, subscribe, or find out more information about our podcast, visit www.HealthcareAIPioneers.com [https://www.HealthcareAIPioneers.com]. Want to be a sponsor, marketing partner, or guest, or provide feedback on the podcast? Email us at Info@HealthcareAIPioneers.com [Info@HealthcareAIPioneers.com]. Music by Turning Pages [https://pixabay.com/users/cfl_turningpages-50915814/?utm_source=link-attribution&utm_medium=referral&utm_campaign=music&utm_content=479843] from Pixabay [https://pixabay.com/?utm_source=link-attribution&utm_medium=referral&utm_campaign=music&utm_content=479843].

A Close Look at AI Drafting and Documentation at Mayo Clinic

Jesse chats with Dr. Heather Heaton, Associate Professor of Emergency Medicine, Consultant, and Vice Chair of Clinical Systems Oversight at Mayo Clinic; Dr. Shant Ayanian, Academic Hospitalist and Data Scientist in the Division of Hospital Internal Medicine at Mayo Clinic; and Angie Griffin, Director of Strategy and Innovation for Clinical Systems at Mayo Clinic. Together, they discuss a study evaluating Epic's LLM-based hospital course drafting tool against human-written summaries across 100 real hospitalizations at Mayo; whether AI performance compared to humans is a win for AI, a damning statement about human baseline quality, or both; design or workflow interventions that can prevent the "rubber stamp" problem of clinicians signing AI-generated documentation without review; which tools in Mayo's growing AI portfolio get rigorous independent evaluation; Mayo's governance structure for clinical AI tools; recommendations for health systems that considering Epic's AI hospital course drafting tool; where AI-assisted clinical documentation could be headed; and much more. Jesse also reflects on this key headline: Researchers at Harvard and Beth Israel Deaconess found that OpenAI's o1 model outperformed two attending internal medicine physicians on real-world emergency department clinical reasoning. In our Resource Link segment, we list one valuable resource you might want to check out. To view this link, subscribe, or find out more information about our podcast, visit www.HealthcareAIPioneers.com [https://www.HealthcareAIPioneers.com]. Want to be a sponsor, marketing partner, or guest, or provide feedback on the podcast? Email us at Info@HealthcareAIPioneers.com [Info@HealthcareAIPioneers.com]. Music by Turning Pages [https://pixabay.com/users/cfl_turningpages-50915814/?utm_source=link-attribution&utm_medium=referral&utm_campaign=music&utm_content=479843] from Pixabay [https://pixabay.com/?utm_source=link-attribution&utm_medium=referral&utm_campaign=music&utm_content=479843].

Overcoming AI Implementation Challenges at the University of Michigan Health System

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. Jesse also reflects on this key headline: OpenAI publishes wish list for healthcare AI. In our Resource Link segment, we list one valuable resource you might want to check out. To view this link, subscribe, or find out more information about our podcast, visit www.HealthcareAIPioneers.com. [https://www.HealthcareAIPioneers.com] Want to be a sponsor, marketing partner, or guest, or provide feedback on the podcast? Email us at Info@HealthcareAIPioneers.com [Info@HealthcareAIPioneers.com]. Music by Turning Pages [https://pixabay.com/users/cfl_turningpages-50915814/?utm_source=link-attribution&utm_medium=referral&utm_campaign=music&utm_content=479843] from Pixabay [https://pixabay.com/?utm_source=link-attribution&utm_medium=referral&utm_campaign=music&utm_content=479843].

Healthcare AI's 'Giant Leap' with Dr. Bob Wachter

Jesse chats with Dr. Bob Wachter, Professor and Chair of the Department of Medicine at the University of California, San Francisco. Together, they discuss Bob's new book, A Giant Leap: How AI Is Transforming Healthcare and What That Means for Our Future; why the current healthcare AI boom is different from the many past waves of health tech hype; unintended consequences of electronic health records and lessons from the EHR rollout that could guide AI deployment in healthcare; the balance between AI replacing doctors and assisting them; what's preventing AI from reliably outperforming human clinicians; how healthcare systems can guard against automation bias; what healthcare could look like if this "giant leap" succeeds; and much more. Get Bob's new book, A Giant Leap: How AI Is Transforming Healthcare and What That Means for Our Future [https://www.penguinrandomhouse.com/books/776443/a-giant-leap-by-robert-wachter-md/]. Jesse also reflects on this key headline: From BBC News, AI chatbots for medical advice can be risky and even dangerous, according to research from the University of Oxford. In our Resource Link segment, we list one valuable resource you might want to check out. To view this link, subscribe, or find out more information about our podcast, visit www.HealthcareAIPioneers.com [https://www.HealthcareAIPioneers.com]. Want to be a sponsor, marketing partner, or guest, or provide feedback on the podcast? Email us at Info@HealthcareAIPioneers.com [Info@HealthcareAIPioneers.com]. Music by Turning Pages [https://pixabay.com/users/cfl_turningpages-50915814/?utm_source=link-attribution&utm_medium=referral&utm_campaign=music&utm_content=479843] from Pixabay [https://pixabay.com/?utm_source=link-attribution&utm_medium=referral&utm_campaign=music&utm_content=479843].

Expanding AI's Role in Emergency Triage at Yale

Jesse chats with Dr. Rohit Sangal, Assistant Professor of Emergency Medicine at the Yale School of Medicine, Associate Medical Director of the Adult Emergency Department at Yale New Haven Hospital, and Director of the Clinical Operations and Administration Fellowship in Emergency Medicine at Yale; and Chris Chmura, Clinical Operations Manager of Emergency Services at Yale New Haven Hospital. Together, they discuss how Rohit and Chris first gained interest in the AI triage area; the role of the Yale Medical School and the Yale New Haven Hospital in an AI triage initiative; metrics, data, and results from what they've implemented thus far; overcoming challenges with implementation; concerns about AI in the triage area and in healthcare in general; preparing frontline clinicians for the future of healthcare delivery with AI tools; where Yale New Haven could be headed with healthcare AI; and much more. Jesse also reflects on this key headline: C-suite execs are super bullish on AI, according to a recent Sage Growth Partners report. In our Resource Link segment, we list one valuable resource you might want to check out. To view this link, subscribe, or find out more information about our podcast, visit www.HealthcareAIPioneers.com [https://www.HealthcareAIPioneers.com]. Want to be a sponsor, marketing partner, or guest, or provide feedback on the podcast? Email us at Info@HealthcareAIPioneers.com [Info@HealthcareAIPioneers.com]. Music by Turning Pages [https://pixabay.com/users/cfl_turningpages-50915814/?utm_source=link-attribution&utm_medium=referral&utm_campaign=music&utm_content=479843] from Pixabay [https://pixabay.com/?utm_source=link-attribution&utm_medium=referral&utm_campaign=music&utm_content=479843].