GenAI for rev cycle performance is still in early stages
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GenAI for rev cycle performance is still in early stages Leaders are counting on genAI for financial improvement but many health systems have yet to adopt it for RCM, report says.
Revenue Cycle Management By Susan Morse , Executive Editor | December 17, 2025 | 11:20 AM Photo: Cavan/Getty Images Revenue cycle managers are optimistic about the potential of genAI to improve performance but many health systems remain in the early stages of adoption, according to a new survey by the Healthcare Financial Management Association and AKASA, a provider of generative genAI for healthcare.The national HFMA survey, done on behalf of AKASA, received responses from 519 hospital CFOs and revenue cycle leaders.Twenty percent 20% of those surveyed said they have not yet started using genAI for documentation and RCM. This is despite responses citing a financial impact from inaccurate or incomplete clinical documentation, the report said.Hospitals are seeking revenue cycle innovations that close clinical documentation gaps, improve quality scores and help avoid patient delays, billing issues and other administrative challenges, the report said.Eighty percent of health systems are exploring, piloting or implementing genAI-powered tools for revenue cycle management, a 38% increase in less than two years. The smaller health systems (those with revenues between $500 million and $1 billion) remain in early adoption stages due to budget constraints and the challenges of implementing new technology at scale, the report said. About 20% of these organizations are piloting and implementing, compared to more than half of larger health systems (64%).When asked about barriers to implementation, organizations most frequently cited integration with existing systems, cost and budget constraints, and concerns about data security.More than half of larger health systems (52.5%) said cost and budget constraints were the single biggest challenge.When asked where GenAI could make the greatest difference, respondents identified three leading opportunities: Identifying missed reimbursement opportunities (nearly 60%); Uncovering gaps in clinical documentation (57%); and identifying missed quality indicators (33%).The survey also found that documentation and coding errors remain a pressing concern, with 89% of organizations saying missed or inaccurate codes have significant impact on revenue.“The report confirms what many of us in healthcare are experiencing,” said Jackie Josing, vice president, HIM/HB and PB Coding, at LCMC Health.Email the writer: [email protected] Topic: Artificial Intelligence, Business Intelligence, Revenue Cycle Management