AI adoption in healthcare is accelerating, but most organizations are still working through how to embed it into real workflows and decision-making in a consistent, scalable way.

This session introduces a practical framework for operationalizing AI—centered on how decision-making shifts between people and AI, how work must be reimagined and safely orchestrated, and how agentic automation enables that shift to deliver meaningful impact.

That framework is brought to life through a real-world example in claims resolution and denial prevention, where medical record summarization, intake, and appeal drafting are streamlined, enabling teams to focus on the highest-value cases. The result is faster revenue recovery, reduced rework, and more consistent execution across the appeals process.

The session also features perspectives from Keck Medicine of USC on how they are approaching AI across their organization—including how they are setting direction, defining boundaries between AI and expert judgment and measuring ROI.