Revenue cycle management (RCM) is undergoing a fundamental shift as healthcare leaders pivot from internal optimization to external defense. A new survey of over 120 industry executives conducted by Adonis indicates that the biggest threat to financial growth in 2026 isn't internal staffing shortages, but rather the increasingly unpredictable behavior of insurance payers.

The data reveals a stark reality: 62% of leaders now view claims denials and underpayments as their primary strategic obstacle. With nearly half of organizations losing up to 4% of their net patient revenue to these hurdles, the impact has moved from a mere operational nuisance to a recurring topic for the C-suite. This environment is characterized by frequent changes to adjudication rules—the logic payers use to determine claim validity—creating a moving target for providers.

To combat these challenges, RCM teams are looking toward artificial intelligence to bridge the widening data gap. Rather than simple automation, the focus is on "payer intelligence." By deploying platforms to analyze payer performance and patterns in real-time, leaders hope to gain the transparency needed to anticipate denials and optimize reimbursement in an automated financial landscape.

Revenue cycle management (RCM) is undergoing a fundamental shift as healthcare leaders pivot from internal optimization to external defense. A new survey of over 120 industry executives conducted by Adonis indicates that the biggest threat to financial growth in 2026 isn't internal staffing shortages, but rather the increasingly unpredictable behavior of insurance payers.

The data reveals a stark reality: 62% of leaders now view claims denials and underpayments as their primary strategic obstacle. With nearly half of organizations losing up to 4% of their net patient revenue to these hurdles, the impact has moved from a mere operational nuisance to a recurring topic for the C-suite. This environment is characterized by frequent changes to adjudication rules—the logic payers use to determine claim validity—creating a moving target for providers.

To combat these challenges, RCM teams are looking toward artificial intelligence to bridge the widening data gap. Rather than simple automation, the focus is on "payer intelligence." By deploying platforms to analyze payer performance and patterns in real-time, leaders hope to gain the transparency needed to anticipate denials and optimize reimbursement in an automated financial landscape.