As 2026 begins, U.S. healthcare enters a defining moment in its modernization cycle. Technologies that only recently lived in pilot environments—AI-enabled revenue cycle management (RCM), advanced EHR intelligence, and integrated telehealth infrastructure—are now maturing into enterprise-grade systems. The shift is no longer hypothetical. Federal policy, payer requirements, and real-world performance data show that healthcare organizations are transitioning from experimentation to scaled operational deployment.
AI in the Revenue Cycle: Rapid Adoption, Measurable Gains, Uneven Outcomes
Adoption of AI in revenue cycle management has accelerated dramatically. Recent surveys from AKASA, HFMA, and Menlo Ventures indicate that a substantial share of U.S. hospitals and health systems now use some form of AI automation in their RCM workflows—far higher than in early 2023, when adoption was still in the low double digits. The shift reflects economic necessity: denial rates remain elevated, staffing shortages persist, and administrative complexity continues to rise.
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