In a recent Becker’s roundup of 31 revenue cycle wins, several health system executives specifically credited AI initiatives, from clinical documentation review to automated billing, with helping cut A/R days, accelerate cash and reduce administrative friction. Here are five of those wins.
1. Cleveland Clinic: AI use cases across CDI, coding and denials
Tracy Peffley, system vice president of revenue cycle management at Cleveland Clinic, pointed to a comprehensive push to align people, process and technology across the revenue cycle, with AI as a central piece. The health system has been “advancing multiple AI use cases in CDI, coding, and denials,” Ms. Peffley said, backed by a tiered AI literacy effort: 1,619 revenue cycle caregivers have completed AI Essentials training, 780 have used the system’s internal ChatGPT tool and 1,150 have used Microsoft Copilot. The broader revenue cycle overhaul helped accelerate cash by $385 million in 2025, with another $65 million captured through June 2026, and brought A/R days down to 42.7, with a target of 40.9 or lower.
2. Novant Health: Using AI to remove work, not just shift it
At Winston-Salem, N.C., Novant Health, Heather Dunn, senior vice president and chief revenue officer, said the system deliberately targeted AI at tasks that could be eliminated rather than reassigned. The system “invested in AI where it could remove manual work, where appropriate, rather than simply shift it,” Ms. Dunn said. That approach was part of a larger redesign that aligned revenue cycle functions into centers of excellence under a single business office. The results: AR days fell nearly 6% and aging dropped 16%, alongside broader gains in operational efficiency and lower costs through a more thoughtful sourcing strategy.
3. Grady Health System: RPA and AI across a newly unified platform
Atlanta-based Grady Health System used its “One Revenue Cycle. One Patient Experience. One Grady” initiative to bring three physician enterprises onto a single billing platform — and layered automation on top. The system moved to “deploy robotic process automation and artificial intelligence across key revenue cycle functions,” said Monica Richey, interim vice president of revenue cycle. The consolidation and automation together helped sustain double-digit revenue growth year over year while standardizing workflows across the newly unified operation.
4. UMass Memorial Health: AI to catch missed documentation
Worcester, Mass.-based UMass Memorial Health used AI to widen the net on clinical documentation review beyond what its staff could cover manually. The health system’s approach centered on “use of artificial intelligence to identify missed clinical documentation,” said Angela Confoey, senior vice president of revenue cycle and chief revenue officer. The tool extended the system’s documentation review reach and helped shift utilization review work into the revenue cycle function.
5. Insight Health System: AI for CDI and automated billing
Chicago-based Insight Health System paired a strategic realignment of its revenue cycle and IT departments with targeted AI deployment. The system pursued “integration of AI tools for clinical documentation improvement and automated billing,” said Ekbal Alnajar, president of Insight Revenue Cycle Management. The combination significantly reduced administrative bottlenecks, improved the precision of APC and DRG calculations, and accelerated cash flow by reducing claim friction.
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