WEBINAR | Evaluating AI’s Accuracy, Safety, and Value for Improving the Care of Medicare Patients

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 data for Medicare patients in value-based care settings.

Using a defined and replicable methodology, this analysis examines the clinical accuracy, safety, and actionability of AI-driven clinical insights, along with their potential cost savings. The session will walk through how recommendations were assessed, what differentiated high-value outputs from low-value or unsafe suggestions, and where AI demonstrated the greatest impact in supporting patient care decisions.

Positioned as one of the early studies to rigorously evaluate AI clinical recommendation accuracy in a value-based care context—this discussion will offer practical insights for clinical, informatics, and executive leaders seeking to responsibly scale AI in care delivery.

Attendees will gain a clearer understanding of how to evaluate AI performance in their own organizations and navigate the balance between innovation and clinical rigor.