MedCity News ยท June 15, 2026
๐ŸŸก 24h

MA Insurers Deny Prior Auth Requests 20% Higher โ€” Impact on RCM Teams

The recent OIG report revealing that the three largest Medicare Advantage (MA) insurers are denying prior authorization (prior auth) requests for long-term acute care and inpatient rehabilitation at significantly higher rates is a critical wake-up call for revenue cycle management (RCM) teams. Understanding the implications of this trend is essential for managing denial rates effectively and ensuring optimal patient care pathways.

What's Actually Happening

According to the OIG report, the largest MA insurers are reportedly denying prior auth requests for long-term acute care and inpatient rehabilitation at rates exceeding those of other MA plans. This trend is concerning as it suggests a potential bottleneck in patient access to necessary services, which can lead to delays in treatment and increased days in accounts receivable (AR) for providers. The data indicates a clear disparity in prior auth outcomes, with certain insurers imposing stricter criteria or engaging in more aggressive denial practices, complicating the revenue cycle for healthcare providers.

Why It Matters for Billing Teams

The implications of these high denial rates for billing teams are profound. Operational workflows are directly impacted, leading to:

What To Do About It

RCM teams need to take proactive steps to address these challenges posed by high denial rates:

The Bigger Picture

This issue is part of a broader trend where payers are increasingly scrutinizing prior auth requests to manage costs in a competitive market. As healthcare costs continue to rise, payers may resort to tighter controls, impacting patient access and provider revenue. This trend could shape future policy discussions around Medicare Advantage and regulatory oversight.

The high denial rates for prior auth requests by major MA insurers highlight a critical challenge for RCM teams, necessitating a strategic response to navigate this evolving landscape effectively.

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Published by RevCycleAI Research ยท June 15, 2026

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