RCM Leaders Brace for Payer and Denial Risks
Revenue Cycle Management leaders are identifying payer behavior and claims denials as the top risks for 2026. In response, there is a growing shift toward predictive, data-driven RCM strategies designed to anticipate financial risks proactively. CFOs are adopting playbooks focused on fixing revenue leaks by improving denials management and patient-pay workflows to boost cash flow.
- A recent survey of over 120 RCM leaders found that payer behavior has surpassed internal staffing as the greatest risk to revenue growth. For 2026, 62% of these leaders cited denials and underpayments as their top obstacle. - The administrative burden of this trend is significant, with most RCM teams spending between 51 and 75 hours weekly managing denials. This focus on reactive denial management diverts resources from more proactive revenue optimization efforts. - Payers are increasingly using artificial intelligence and natural language processing to audit clinical notes at scale, triggering automatic denials for claims that don't precisely match their internal criteria for medical necessity. Some of these AI-driven systems are responsible for denial rates 16 times higher than manual reviews. - Common reasons for claim denials include front-desk errors like incorrect patient demographic or insurance information, missing or expired prior authorizations, and coding errors. Specifically, payers have nearly eliminated reimbursements for "Not Otherwise Specified" (NOS) codes when a more specific code is supported by clinical notes. - The CMS Interoperability and Prior Authorization Final Rule, effective in 2026, mandates faster, electronic prior authorization processes. While intended to streamline approvals, it has also led payers to implement more "micro-requirements"—small, specific clinical data points that must be present to secure authorization. - In response, over 92% of RCM leaders are planning to expand their use of AI and predictive analytics in 2026. These tools can assign a "Denial Risk Score" to claims before submission, allowing teams to correct errors proactively. - Organizations that have already operationalized AI in their revenue cycle are reporting 13-37% fewer denials. Predictive models can also identify underpayments by analyzing historical claims, contract terms, and reimbursement logic to flag discrepancies for appeal. - Beyond technology, healthcare CFOs are also concerned with rising operational costs, particularly for labor, which saw a median base pay increase of 4.3% in 2025. This, combined with projected cuts to Medicaid and other programs, is creating significant financial pressure on health systems.
