A healthcare administrator and doctor reviewing prior authorization denial data on a tablet
  • New federal rules force payers to publicly disclose their prior authorization denial data.

  • Providers use public prior authorization denial data to spot trends and workflow friction.

  • Public prior authorization denial data allows practices to optimize revenue and staffing.

Payer prior authorization metrics have long been a 'black box' for providers. But on March 31, 2026, a new federal rule forced certain insurers (i.e., Medicare Advantage plans, state Medicaid and Children's Health Insurance Program fee-for-service programs, Medicaid managed care plans, and plans on the Affordable Care Act exchanges) to publicly report approval rates, denial rates, and decision turnaround times to help curb administrative burden.

For providers, the rule — which is part of a larger federal effort to cut red tape, creating concrete opportunities to optimize revenue cycle workflows. 

TL;DR

On March 31, 2026, a new federal rule forced major health insurers to publicly report their prior authorization approval rates, denial rates, and turnaround times. While this data lack clinical context and varies by plan standards, healthcare practices can use these public benchmarks as an early warning system to:

  • Evaluate individual payer performance across insurance plans.
  • Isolate high-friction authorization workflows before they disrupt cash flow.
  • Forecast administrative burdens and allocate front-end staffing resources.
  • Refine clinical documentation templates to align with the strictest payer criteria.

What public prior authorization denial data reveals about payer behavior

As payers begin to publicly report these metrics, providers will have a unique glimpse into patterns in payer behavior as well as outlier trends, potential contracting opportunities, and more. Public prior authorization denial data is highly valuable because it addresses several key challenges on the provider side.

Denial rates vary across insurance companies

Payers use different prior authorization requirements, medical necessity criteria, coverage policies, documentation expectations, and claims editing rules, making it difficult for providers to stay on top of evolving rules. Being able to access public prior authorization denial data helps providers remain compliant across diverse payers more easily.

Medicare Advantage requests are increasing

In addition to increased complexity of prior authorization rules and requirements, prior authorizations are also increasing in terms of volume—particularly among Medicare Advantage plans. Nearly 53 million prior authorization requests were submitted to Medicare Advantage insurers on behalf of Medicare Advantage enrollees in 2024. Medicare Advantage insurers fully or partially denied 4.1 million of these requests, and although a small share of denied prior authorization requests were appealed to Medicare Advantage insurers, most appeals (80.7%) were partially or fully overturned. 

Even the Office of Inspector General called attention to the increased volume of Medicare Advantage prior authorization denials in this report that also highlights concerns about beneficiary access to medically necessary items and services. Public prior authorization denial data helps streamline workflows for increasingly vulnerable patients.

Prior authorization requirements contribute to care delays

As prior authorization complexity and volume continue to skyrocket, there’s a negative impact on patient care. Ninety-five percent of physicians report care delays and 26% of physicians say a prior authorization led to a serious adverse event for a patient in their care. 

How healthcare practices use denial data to identify operational risk

Public prior authorization data acts as an early warning system exposing emerging payer behavior shifts before they impact your practice’s bottom line. Fortunately, there are several ways practices can use the data proactively. Managing medical billing denials doesn't have to overwhelm your staff if you use this information to predict workflow strain.

Benchmark payer performance across insurance plans

Leverage these newly disclosed metrics to compare prior authorization metrics such as denial rates, approval rates, decision turnaround times, volume of requests, and appeal overturn rates across payers.

Identify high-friction authorization workflows

Analyze the public datasets to look for patterns and identify potential areas where staff may be spending disproportionate time on repeated submissions, additional documentation requests, manual follow-up, or appeals. 

For example, if one payer consistently reports longer approval times and higher denial rates for imaging or specialty services compared with peers, practices can flag those workflows for process redesign, create payer-specific documentation checklists, strengthen front-end authorization procedures, or dedicate staff resources to those high-burden areas.

Anticipate appeal volume and administrative burden

Practices can include payer turnaround and denial trends in workforce planning and leverage it to understand where additional time and resources may be necessary. 

For example, if a payer consistently reports above-average denial rates and high appeal reversal rates, a practice can anticipate increased staff workload, allocate resources proactively, strengthen documentation processes, and prepare for potential delays in reimbursement and patient scheduling.

Why denial rates alone do not tell the full story

However, practices must keep in mind that denial rates alone only reveal part of the picture. That’s because payers overturn many of these denials upon provider appeal. This means data on the percentage of overturned denials is equally as important. 

The gap between initial denials and overturned appeals

When looking at public prior authorization denial data, it’s important to look at overturned denials because an insurer’s first decision and its final determination after additional review and documentation may differ. Fortunately, per the prior authorization rule requiring payer transparency and accountability, payers must publicly disclose the following appeal-related information:

  • Percentage of requests approved after appeal
  • Percentage of each appeal outcome (i.e., overturned of upheld)

[Note that payers must also publicly report the average time to decision, list of services (excluding prescription drugs) requiring prior authorization, specific reason for denial, and total number prior authorization requests including the percentage approved or denied].

Differences in payer reporting and transparency standards

It’s important to note that not all health plans will report the same information simultaneously, nor will each payer’s metric definitions exactly align. Consider the following:

  • One payer may publish annual reports and another may publish updates more frequently. 
  • One payer may calculate denial rates using all prior authorization requests submitted, while another may count only completed determinations. 
  • One payer may separate administrative denials from medical necessity denials, while another combines them into a single category. 

Here are examples of prior authorization data available from three large insurers:

Why authorization data lacks clinical context

Another important consideration is that authorization data often lacks clinical context, because it typically captures administrative transaction details rather than the full patient story behind the request. Without this clinical context, the data may be difficult to interpret because it doesn’t reveal whether denials reflected documentation gaps, evolving coverage policies, medical necessity disagreements, or legitimate differences in patient complexity.

To respond proactively, practices should focus on three operational shifts:

Improve documentation and medical necessity support

Leverage denial data to strengthen documentation templates, standardize required prior authorization clinical elements, and align records more closely with payer policies.

Standardize prior authorization workflows

Use the performance benchmarks to create consistent, payer-specific processes and documentation requirements such as payer-specific authorization checklists for common services, standard documentation templates that include medical necessity elements, and predefined workflows and escalation pathways for denials or exceptions.

To eliminate manual errors, practices can deploy integrated electronic health records (EHR) and medical billing software to automatically flag prior authorization rules and verify insurance eligibility before a patient arrives.

Use payer trend data to support operational planning

Review prior authorization data to identify patterns in denial rates, prior authorization volume, approval times, appeal outcomes, and payer-specific requirements and then adjust resources and workflows accordingly.

FAQ about prior authorization denial data

Prior authorization denial data is information regarding the frequency with which health plans deny requests for services, medications, procedures, or treatment that require advance approval. This data may include metrics like denial rates, approval rates, appeal overturn rates, and more.
Federal regulators mandated this transparency to expose systemic administrative bottlenecks, reduce provider burnout, and identify health plans that create arbitrary barriers to medically necessary care.
Red tape directly causes care delays, forces treatment interruptions, and compromises clinical outcomes. These administrative hurdles are especially dangerous for patients managing chronic conditions or requiring time-sensitive medical interventions.
Healthcare practices can use denial trend data to benchmark payer performance, identify high-friction workflows, improve medical necessity documentation, and anticipate staffing needs to reduce care delays and administrative strain.

Written by

Lisa Eramo, freelance healthcare writer

Lisa A. Eramo, BA, MA is a freelance writer specializing in health information management, medical coding, and regulatory topics. She began her healthcare career as a referral specialist for a well-known cancer center. Lisa went on to work for several years at a healthcare publishing company. She regularly contributes to healthcare publications, websites, and blogs, including the AHIMA Journal. Her focus areas are medical coding, and ICD-10 in particular, clinical documentation improvement, and healthcare quality/efficiency.

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