Artificial Intelligence (AI) tools represent a large opportunity to streamline clinical workflows and reduce provider burden, but much of AI work remains academic vs. operational. During this webinar sponsored by the Chief Medical Officers’ Group (CMOG) and the Group on Faculty Practice (GFP), participants heard from Stanford, and their recent work in AI. The first presenter, Dr. Nigam Shah, focused on AI governance as well as the strategy and goals of the Data Science Team at Stanford Health Care (SHC). Our second presenter, Dr. Patricia Garcia, shared Stanford’s success and challenges around recent pilot applications, specifically ones that draft patient message responses and post-patient-session notes. Given that electronic messages are a leading cause of clinician burnout, CMOG and GFP members are especially interested in these pilots as potential opportunity to reduce physician administrative time and cognitive burden.
Presenters
Patricia Garcia, MD
Associate Chief Medical Officer, Ambulatory Care, Stanford Health Care
Director, GI Motility Laboratory, Stanford Digestive Health Center
Clinical Associate Professor of Medicine – Gastroenterology & Hepatology, Stanford University School of Medicine
Nigam Shah, MBBS, PhD
Chief Data Scientist, Stanford Health Care
Co-Director, Center for Artificial Intelligence in Medicine & Imaging (AIMI)
Professor of Medicine – Biomedical Informatics Research & Professor of Biomedical Data Science, Stanford University School of Medicine
Lisa Chew, MD, MPH - Moderator
Director of Clinical Innovations
Association of American Medical Colleges
Materials
Patricia Garcia, MD's slides (PDF)
Nigam Shah, MBBS, PhD's slides (PDF)