The use of AI expands in hospital revenue cycles

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37% of health systems are using generative AI within revision cycles, and 45% are applying it to repudiation-related workflows.

According to a new report, 37% of health systems are using generative AI in their revenue cycle.

One-third of those surveyed are using AI, and 85% of those not yet using it are interested or very interested in it.

The adoption rate for large health systems is 48%, according to findings from PayZen’s second annual report, “The State of Health Care Expenditure in 2026: A Provider Perspective.” The survey was conducted in collaboration with HFMA, the Healthcare Financial Management Association, among more than 200 healthcare revenue leaders.

Denial-related workflows are an area where nearly half of healthcare systems, 45%, are applying AI.

20% of large health systems reported implementing AI beyond prior authorization. Another 20% used it for patient access and scheduling. Additionally, 20% said they use AI in their financial aid and eligibility workflows.

According to PayZen, which provides an affordable platform for patients, AI is gaining momentum across the healthcare system and revenue priorities are shifting towards patient experience.

While increasing collections remains a top priority for revenue leaders (49%), interest in improving the patient financial experience more than doubled year-over-year, rising from 19% in 2025 to 41% in 2026. This is roughly tied to reducing non-performing loans (41%), which is a core strategic focus for revenue leaders.

Revenue leaders also want to speed up Medicaid eligibility checks. Almost two-thirds (61%) say they prefer Medicaid eligibility verification and financial verification during scheduling, and 21% of hospitals use this method. Most organizations still screen for Medicaid eligibility later, such as during a visit.

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