Every health system leader wrestling with AI keeps landing on the same question: where does capability end and authority begin? This session unpacks how agentic AI moves from answering questions to taking action, and why healthcare data raises the stakes on that shift. You’ll hear directly from Infor’s Vignesh Subramanian and Amanda Merritt on the governance architecture that bounds agent authority through identity, policy, human ownership, and explicit authorization, and how Cloverleaf grounds that intelligence in the healthcare interoperability context AI depends on. If your team is fielding board-level questions about AI risk and doesn’t yet have confident answers, this session gets you there. Register now to see how authority and accountability are being engineered into the next phase of interoperability.
In this session:
- Identify what makes healthcare data actually AI-ready, beyond system connectivity and standards conformance
- Distinguish capability from authority, and where agentic AI shifts the risk in healthcare workflows
- Apply the Retrieve→Reason→Act framework to pinpoint governance requirements at each level of AI autonomy
- Ask the five accountability questions your board and compliance teams will expect answered before scaling AI