A panel of healthcare executives at this week’s HealthLeaders virtual summit identifies key opportunities and challenges to deploying agentic AI Healthcare organizations are embracing agentic AI as a care management and clinical decision support platform, but it requires some fancy footwork around data management and protection and a clear understanding of what you’re accomplishing. “What defines safety?” asked Jim Blum, MD, FCCM, AME, Chief Health Information Officer at University of Iowa Health Care. “What are the human interventions that need to be [integrated], and what are the human brakes that need to be built into agentic AI. [That] is going to be a real significant concern going forward in the next three to five years.” Blum was a participant in this week’s HealthLeaders AI NOW virtual summit, joining Byron Yount, PhD, Chief Data and AI Officer at Mercy, and Zafar Chaudry, MD, MS, MIS, MBA, SVP, Chief Digital Officer and Chief AI and Information Officer at Seattle Children’s, on a panel that focused on taking the next steps with agentic AI. Using Agentic AI Now The hour-long panel gave the audience an opportunity to look at how three prominent health system executives are embracing agentic AI to address very specific issues, a crucial caveat to using AI in healthcare. For Blum, the issue is patient handoffs, and the health system contracted with a company called Evidently to develop an AI tool that surfaces patient data across the enterprise. googletag.cmd.push(function() { googletag.display(“dfp-ad-hl_native1”); }); The tool, he said, offers not only a…
