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Year One, Real Results: How Health Systems Are Using AI to Deliver Fast ROI in the Revenue Cycle

Workforce Shortages, Financial Pressures & Administrative Burnout

Across the U.S., health systems are facing unprecedented operational stress. A growing gap in the medical coding workforce, increasing claims denials, and unsustainable administrative workloads have converged into a perfect storm. As margins tighten and patient volumes increase, organizations are being forced to rethink traditional revenue cycle operations — not just to scale and grow, but to survive.

Leveraging AI to Code Smarter, Not Harder in Year 1

To meet the moment, forward-thinking health systems are embracing AI-powered autonomous medical coding. By automating coding workflows, they’re reducing backlogs and denials, easing the burden on their teams, and accelerating reimbursement.
Here’s how 3 major health systems are leading the way with autonomous coding—driving innovation and realizing impressive Year 1 results.

1. Oregon Health & Science University (OHSU): Clearing Backlogs & Cutting Denials

Facing a coder shortage and a looming expansion, OHSU needed a scalable way to manage a historic coding backlog and rising denial rates. They implemented CodaMetrix’s AI platform in their Radiology department to lighten the load.

  • 92% of Radiology cases now coded autonomously
  • 70% reduction in coding-related denials
  • 27.7% decrease in coder workload

The result? Faster reimbursement, fewer denials, and a more sustainable path forward.

2. UMass Memorial Health System: Reclaiming Time & Accuracy

With mounting documentation challenges and staffing constraints, UMass Memorial Health System deployed AI coding to improve speed, clinical accuracy, and reimbursement timelines. With CodaMetrix, they have achieved…

  • An 86% automation rate — speeding up claims submission & reimbursement timelines
  • Significant reductions in manual coding, coder overtime, and historical backlog
  • A 12% increase in eligible automated cases — with richer clinical detail  

UMass Memorial Health System is now exploring cross-department expansion as part of a long-term automation roadmap.

3. UHealth (University of Miami Health System): Fast-Tracking Reimbursement

Struggling with lagging reimbursement timelines, a growing backlog, and labor shortages, UHealth integrated CodaMetrix to streamline coding within their Radiology department.

  • 88% of Radiology coding now automated
  • 12% reduction in worker caseload
  • Faster claim submission = quicker payments

The outcome? A more agile revenue cycle, empowered teams, and faster access to the funds needed to fuel patient care.

AI Isn’t the Future — It’s Now

These results aren’t isolated. Health systems that embrace AI coding are unlocking faster reimbursements, fewer denials, and healthier teams. CodaMetrix is helping them shift from firefighting mode to future-focused growth strategy.

Ready to reclaim time and reduce denials? Visit the CodaMetrix team at the HFMA Annual Conference, June 22-25, at Booth #637 to learn how our autonomous coding platform is powering the next era of revenue cycle innovation.

👉 Schedule time with our team at the show to see how CodaMetrix can help your organization operate at peak financial performance.

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