Randi Seigel, Partner and Jared Augenstein, Senior Managing Director, Manatt Health. Health AI policy has reached an inflection point in 2026. States have introduced more than 240 bills in the first quarter alone, focused on guardrails around AI chatbots, clinical oversight and patient consent, payor use of AI in utilization management and downcoding, liability, and […]
Yaron Elad, MD, FACC, FAMIA, Chief Medical Informatics Officer, Cedars-Sinai; Neil Fishman, MD, Chief Medical Officer, Hospital of the University of Pennsylvania; Carla Haack, MD, FACS, RYT-200, VP, Chief Financial Informatics Officer, Emory Healthcare;
Join Scott Weingarten, MD, SI Board Member, healthcare entrepreneur and Professor Emeritus at Cedars-Sinai Health System. As health systems expand the use of AI in clinical decision support, questions around accuracy, safety, and measurable value remain front and center. This webinar will present findings from a structured evaluation of AI-generated clinical recommendations derived from EHR […]
As healthcare systems increasingly adopt artificial intelligence, the most impactful solutions are those that simultaneously enhance clinician workflows and improve patient outcomes—eliminating the need for traditional tradeoffs. This session explores how WellSpan Health and Aidoc partnered to successfully scale clinical AI to deliver measurable benefits for both patients and providers. Hear from healthcare leaders as […]
Lee H. Schwamm, MD, Associate Dean, Digital Strategy and Transformation, Yale School of Medicine; Professor in Biomedical Informatics and Data Science and Professor of Neurology, Yale School of Medicine; Senior Vice President and Chief Digital Health Officer, Yale New Haven Health System; and John Glaser, PhD, Executive in Residence, Harvard Medical School and Chair of […]
Patrick Brown, MD, FAAP, Chief Medical Information Officer, BayCare Health System. This presentation examines how the process of measurement shapes what becomes visible, valued, and actionable in healthcare. Drawing on lessons from the history of human intelligence testing and the evolution of machine learning, it examines the ethical implications of how we assign value when […]