Revenue Cycle Automation: Three Reasons to Engage Early and Often

AHIMA January 2, 2026
Dawn Crump, MA, CHC, LSSBB, and Malissa Powers, BS, RHIT, CDIP, CCS, CICA

The healthcare revenue cycle is undergoing an unprecedented digital transformation, driven primarily by the rapid adoption of artificial intelligence (AI), machine learning (ML), and robotic process automation (RPA). From patient scheduling to final payment collection, technology is being implemented nationwide to automate processes, improve productivity, and reduce the margin for human error.

The shift is dramatic and fast-paced. Top areas for the use of AI in the revenue cycle include prior authorization, ambient clinical documentation, autonomous coding, denials prevention, claims submissions, and denial management. The technology is already showing measurable results. According to Experian Health’s State of Claims 2025 report, 69 percent of providers who use AI say it has reduced denials and/or increased the success of resubmissions.

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