Webinar: Using AI agents in practice: Moving from automation to action

Jul 29 2026

16:00 BST - 17:00 BST | 01:00 AEST - 02:00 AEST | 11:00 EDT - 12:00 EDT

AI agents can finally reason across the unstructured, judgment-heavy work that defines quality, safety, risk, and compliance. Join Ideagen to learn how healthcare leaders are moving from automation to action, and exactly where to draw the line between an AI agent and full agentic autonomy.

About this webinar:

AI in healthcare has moved through three eras: rules-based alerts, machine learning prediction, and now generative, agentic systems that can reason across unstructured data like incident narratives, complaint letters, and clinical notes. This webinar unpacks what that shift means for quality, safety, risk, and compliance teams today.

We’ll walk through real use cases already in production, including incident reporting and event management, recall and safety alert matching, patient complaint and grievance handling, and quality measure abstraction, and show where AI acts on its own versus where a human must stay in the loop.

We’ll also cover the governance model that makes autonomy safe to grant: risk-based classification, explicit boundaries, audit trails, continuous monitoring, and preserving human capability, and how converging regulatory guidance (NIST, ONC HTI-1, Joint Commission/CHAI) is raising the bar for all of it.

This session is built for quality, safety, risk and compliance leaders in hospitals and health systems who are evaluating AI agents and want a practical, non-vendor-hype framework for where to start and how to govern it.

Key takeaways:

  • The critical difference between an “AI agent” and an “agentic workflow” and why that distinction sets your risk and governance obligations. 
  • How to draw the “autonomy line”: what AI can safely handle on its own, and what must always stay with a human.
  • The five pillars of effective AI governance: risk-based classification, explicit boundaries, audit trails and explainability, continuous monitoring and preserving human capability.
  • Why regulatory frameworks (NIST AI RMF, ONC HTI-1, Joint Commission/CHAI guidance) are converging on the same expectations and what that means for your organization.
  • A practical roadmap for building governance maturity, starting with assisted agents and expanding autonomy as trust is earned.

Meet our speakers

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