From Fragmented to Fundable: How Health Systems Are Finally Making AI Stick
About this recording
Messy data infrastructure is not a technology problem. It is a revenue problem.
This session gives CFOs the playbook for turning fragmented data into a foundation AI can actually run on — and shows what that unlocks across revenue cycle performance, denial reduction, and financial predictability.
Who should attend
CFOs, revenue cycle executives, and health system finance leaders who are being asked to fund AI. Also useful for the data and analytics leaders responsible for the infrastructure those investments depend on.
Who you'll hear from

Marc Cohen
University of Rochester Medical Center
Chief Financial Office

Kelly Canter
Innovaccer
Managing Director - Solutions

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.