Report
The Revenue Cycle Intelligence Report
New HFMA and AKASA research reveals how health systems are using generative AI to improve quality, accuracy, and performance in the revenue cycle.
The healthcare revenue cycle is changing — fast. To understand how health systems are adapting, HFMA and AKASA surveyed more than 500 healthcare finance leaders nationwide. The findings show a field in transition: documentation and coding remain major pain points, while adoption of generative AI is accelerating across organizations of all sizes.
This new report uncovers what’s driving change, where challenges remain, and how forward-looking teams are rethinking accuracy, quality, and collaboration across the mid-cycle.
In this report, you’ll learn:
How 80% of health systems are now exploring, piloting, or implementing generative AI in the revenue cycle
Why documentation quality continues to top the list of mid-cycle challenges — outranking staffing and technology
The real cost of missed or inaccurate codes — and why even small gaps can have major financial impact
How leading organizations are connecting people, processes, and technology to build a more accurate, efficient mid-cycle
Want to know what’s next for the revenue cycle?
Fill out the form to read the report.
