Podcast Short 58 sec April 13, 2026From Season 2, Episode 1

Why AI Tools Need Their Own Revenue Cycle KPIs

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Blake Evans·System Vice President of Revenue Cycle, Rush University System for Health
In this clip

Blake Evans, System Vice President of Revenue Cycle at Rush University System for Health, describes how the RCM measurement framework has expanded beyond traditional KPIs. Cash metrics, AR days, denial rates, bad debt, and point-of-service collections remain daily anchors. But a new layer of operational measurement has emerged alongside them: a dedicated automation dashboard within Epic tracked with the same daily frequency as core financials.

Key Takeaway

Tracking the output of AI and automation tools with the same rigor applied to core RCM metrics turns automation from a cost-reduction initiative into a measurable operational discipline, and sets the foundation for the next generation of revenue cycle performance standards.

“There’s a whole dashboard now around automation in Epic that I look at, you know, just as regularly.”

Blake Evans, System Vice President of Revenue Cycle, Rush University System for Health

Agentic AILeadershipClaims Denial Management
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