Proving the Return: How to Advance AI and Measure What Actually Matters
About this recording
The ROI conversation in healthcare AI is broken. Pilots show promise. Boards ask for numbers. Finance asks for attribution.
This session provides a practical framework for measuring what autonomous RCM actually returns — and how to build the evidence base that moves an AI program from pilot to operating model.
Who should attend
Revenue cycle and finance leaders — CFOs, revenue cycle executives, and the AI or transformation owners who have to prove a program's return to a board or a finance team.
Who you'll hear from

Patrick Easterling
Innovaccer
Vice President - Business Development

Bobby Guelich
Elion
Co-Founder and CEO

Christopher Davis
CaduceusHealth by Innovaccer
AI Officer

How AI in RCM Is Being Deployed in Practice, Not in Theory
McLaren Healthcare is not running a pilot. A look at what autonomous RCM deployment actually looks like inside a large health system, including what was harder than expected.

The AI Opportunity in Utilization Management
Prior authorization is under regulatory pressure and operational strain. Where AI is delivering genuine value in utilization management — and what separates successful deployments from those that create new compliance and clinical risk.

Buyer's Guide to Healthcare Autonomy Platforms
A CHIME-endorsed framework for evaluating platforms that claim to execute autonomous workflows — and the questions that separate genuine context infrastructure from context-poor automation dressed up as autonomy.