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. Want to be a sponsor, marketing partner, or guest, or provide feedback on the podcast? Email us at [email protected].  Music by Turning Pages from Pixabay.