Artificial Intelligence
HIMSS26: The Risks and Rewards of Agentic Artificial Intelligence
From prior authorizations to patient outreach, agentic artificial intelligence has the potential to automate tasks — giving clinicians and administrators time back in their days. However, the nature of agentic AI means it acts independently, which can create risk in healthcare workflows.
To take advantage of the benefits created by agentic AI, healthcare organizations need to implement tools with proper governance in place that centers human verification.
At HIMSS26 in Las Vegas, HealthTech spoke with healthcare leaders about their own experiences with agentic AI and the advice they’d offer other organizations looking to implement agentic AI solutions.
DISCOVER: How is agentic AI changing the future of work and AI use cases?
Check out this page for our complete coverage of HIMSS26.
Participants
Dr. Amish Desai, Chief Medical Officer for Population Health, Northwestern Memorial HealthCare
Dr. R. Ryan Sadeghian, Chief Medical Information Officer, University of Toledo
Video Highlights
- Agentic AI can help healthcare organizations automate prior authorizations, scheduling, patient outreach and appointment reminders, customization, and the escalation of health crises discovered by chatbots.
- The right people need to be involved in the agentic AI selection and implementation process from the outset to create a governance structure with appropriate guardrails.
- Healthcare organizations should focus on areas of friction and low value work when considering agentic AI use cases.
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