Prior Authorization Takes 13 Hours a Week Per Physician — How Automation Changes That

Every week, the average physician in America loses 13 hours to prior authorization — not treating patients, not reading charts, not consulting with colleagues. Thirteen hours filling forms, calling payers, and waiting on hold. That is one and a half workdays per physician, every week, doing work that data shows should not exist in the first place.

These numbers come from the 2024 AMA Prior Authorization Physician Survey, published in December 2024, which collected responses from 1,000 practicing physicians across specialties. It is the most comprehensive physician-level dataset on prior authorization burden available in the United States, and the findings are unambiguous: the prior authorization process is consuming an extraordinary amount of physician and staff time, delaying patient care, and contributing directly to physician burnout. The scale of the problem has grown to a point where it cannot be addressed with incremental process improvements — it requires structural change in how authorizations are requested, processed, and tracked.

This article presents the crisis data from the AMA survey and KFF research, explains why 80.7% of prior authorization denials are overturned on appeal (and what that means about the validity of those denials), details the CMS-0057-F regulatory changes taking effect in 2026 and 2027, walks through four documented case studies of automation in practice, provides an interactive calculator for your practice's PA costs, and outlines a four-step action plan for reducing your prior authorization burden. Prior authorization is also the leading cause of claim denials — for the full denial cost analysis, see our comprehensive breakdown of the $262 billion denial crisis.

The Prior Authorization Crisis in Numbers

39 Requests Per Week, 13 Hours of Staff Time

The 2024 AMA Prior Authorization Physician Survey (AMA, 2024), based on responses from 1,000 practicing physicians across the United States, provides the most granular picture available of the prior authorization burden on American medical practices. The headline finding is stark: physicians and their staff spend an average of 13 hours per week on prior authorization tasks. That is not 13 hours across an entire practice — it is 13 hours per physician.

To put that in context, a physician working a standard 50-hour clinical week is losing 26% of available work time to prior authorization. Across those 13 hours, practices complete an average of 39 prior authorization requests per physician per week. Each request involves determining whether the service requires authorization, identifying the correct payer requirements, assembling the clinical documentation, submitting the request through the payer's preferred channel (fax, phone, or portal), and following up on pending requests. Forty percent of physicians report having staff members who work exclusively on prior authorization — meaning their practice has dedicated headcount whose entire role is obtaining permission from payers for physicians to treat patients.

This is not a minor administrative annoyance. It is a half-time position per physician dedicated entirely to getting permission to treat patients. For a 10-physician practice, the prior authorization workload is equivalent to 5 full-time employees doing nothing but prior authorization paperwork. And because the process is largely manual — involving phone calls, fax submissions, and portal data entry — the time cannot be easily compressed without changing the underlying workflow.

The Patient Impact Nobody Talks About

The financial and administrative burden of prior authorization receives most of the attention, but the patient impact data from the AMA survey is arguably more alarming. Ninety-four percent of physicians report that prior authorization delays necessary care (AMA, 2024). That is not a slight majority — it is near-universal consensus among practicing physicians that the prior authorization process is actively interfering with their ability to deliver timely care.

Beyond delays, 82% of physicians report that patients have abandoned recommended treatment due to prior authorization barriers. These are patients who needed a procedure, imaging study, medication, or specialist referral, were told they needed prior authorization, and either could not navigate the process or gave up waiting for approval. The treatment was clinically indicated, the physician recommended it, and the patient did not receive it — not because of a clinical decision, but because of an administrative process.

The most troubling statistic is this: 29% of physicians report that prior authorization has led to a serious adverse event for a patient in their care — meaning hospitalization, life-threatening event, disability, or death. These are not theoretical risks. Nearly one in three physicians reports a patient harmed by the prior authorization process. When a system designed to control costs results in nearly a third of physicians witnessing serious patient harm, the cost-benefit analysis of that system deserves rigorous scrutiny.

The Financial Drain on Your Practice

The direct cost of prior authorization is measurable and substantial. According to Medical Economics estimates, the cost per prior authorization submission ranges from $20 to $30 in staff time, accounting for the labor involved in determining requirements, assembling documentation, submitting requests, and following up (Medical Economics). At 39 requests per physician per week, that translates to $780 to $1,170 per physician per week, or $40,560 to $60,840 per physician per year in direct staff costs dedicated to prior authorization.

For a 5-physician practice, the annual direct cost of prior authorization ranges from $202,800 to $304,200. For a 15-physician group, it reaches $608,400 to $912,600. These figures account only for the staff time spent on the prior authorization process itself — they do not include the downstream costs of delayed care, denied authorizations that must be appealed, lost revenue from patients who abandon treatment, or the administrative overhead of tracking pending authorizations.

The indirect costs may be even larger. The AMA survey found that 89% of physicians say prior authorization contributes to physician burnout. Burnout-driven physician turnover is one of the most expensive events a practice can experience, with industry estimates placing the cost of replacing a single physician at $500,000 to $1 million when accounting for recruitment, onboarding, lost productivity during the transition, and revenue loss during the vacancy period. Prior authorization is not the sole cause of burnout, but when 89% of physicians identify it as a contributing factor, it is clearly a significant driver — and one that, unlike many causes of burnout, is addressable through process automation.

Wondering how much prior authorization costs your specific practice? We run a free PA cost analysis — 30 minutes, your data, zero commitment. Book yours here.

Why 80% of Prior Auth Denials Should Not Exist

Medicare Advantage — 7.7% Denied, 80.7% Overturned

The Kaiser Family Foundation (KFF) analysis of 2024 Medicare Advantage data provides some of the most revealing numbers in the entire prior authorization debate (KFF, 2024). Medicare Advantage plans issued approximately 53 million prior authorization determinations. Of those, 4.1 million were denied — a denial rate of 7.7%. That denial rate alone represents an enormous volume of clinical services that were recommended by physicians, submitted for authorization, and rejected by payers.

But the more important numbers come from the appeals data. Of the 4.1 million denied prior authorizations, only 11.5% were actually appealed. That means roughly 471,500 denials went through the appeals process out of 4.1 million total denials. Of those that were appealed, 80.7% were overturned in the enrollee's favor. The payer's original denial was reversed in more than four out of five cases where the denial was challenged.

The implication of these numbers is difficult to overstate. If 80.7% of appealed denials are overturned, it means the vast majority of prior authorization denials are incorrect — the service was medically necessary, the documentation was sufficient, and the authorization should have been granted in the first place. But because only 11.5% of denials are appealed, the overwhelming majority of these incorrect denials stand unchallenged. Payers issue denials that they themselves reverse when challenged, but they issue them at a volume that ensures most will never be challenged.

The Provider vs. Payer Disconnect

Research published in PMC and Health Affairs Scholar reveals a fundamental disconnect between how providers and payers view prior authorization. Among providers surveyed, only 46% consider prior authorization necessary, compared to 94% of payers (Health Affairs Scholar). The gap is equally stark when it comes to technology adoption: only 11% of providers plan to use AI for prior authorization, compared to 65% of payers.

This disconnect is not merely philosophical. It reflects a fundamental misalignment in how the two sides of the healthcare system view the purpose and legitimacy of the prior authorization process. Payers view prior authorization as a necessary cost control tool — a mechanism for ensuring that only medically necessary services are delivered and reimbursed. Providers view it as an unjustified administrative burden that delays care, harms patients, and consumes resources that could be directed toward clinical activities.

The data supports the provider perspective far more than the payer perspective. When prior authorization denials are challenged through the appeals process, they are overturned 80.7% of the time. That means the payer's own review process concludes, in the vast majority of cases, that the original denial was wrong. A system in which 80.7% of challenged decisions are reversed is not functioning as an effective cost control mechanism — it is functioning as an administrative barrier that delays care and shifts costs from payers to providers.

The Appeals Paradox — Worth Fighting, Rarely Fought

The gap between the appeal success rate (80.7%) and the appeal attempt rate (11.5%) represents one of the most significant recoverable revenue opportunities in healthcare. Only 11.5% of denied prior authorizations are appealed, but when they are, they succeed more than four out of five times. The math is straightforward: there are millions of denied authorizations every year that would be overturned if anyone challenged them, but they are never challenged.

Why don't more practices appeal? The answer is time and staff constraints. Preparing a prior authorization appeal takes 30 to 60 minutes per case, requiring staff to review the original denial, gather additional clinical documentation, write an appeal letter addressing the payer's specific stated reason for denial, and submit the appeal through the payer's designated process. For a practice already spending 13 hours per week per physician on initial prior authorization submissions, adding appeal preparation to the workload is simply not feasible with existing staff.

This is where automation creates the most immediate and measurable impact. Automated appeal generation can pull the original authorization request, the denial reason, and the relevant clinical documentation, and produce a complete appeal package with supporting evidence — reducing the time from 30-60 minutes to minutes. By automating the appeal workflow, practices can systematically challenge denials that would otherwise be abandoned, recovering revenue that the data shows they are entitled to in 80.7% of cases.

The most damaging finding is not the time lost or the money spent — it is that 80.7% of prior authorization denials, when challenged, are overturned. The majority of these denials should never have been issued in the first place.

CMS-0057-F — What Changes in 2026 and 2027

January 2026 — Faster Decisions, Specific Reasons

CMS-0057-F, the Interoperability and Prior Authorization Final Rule issued by the Centers for Medicare and Medicaid Services, represents the most significant federal regulatory action on prior authorization in over a decade (CMS, 2024). The rule establishes concrete requirements for payers that address some of the most frustrating aspects of the current prior authorization process.

Beginning January 2026, the rule mandates a 72-hour turnaround for urgent prior authorization decisions, replacing what was previously a payer-defined timeline with no federal standard. For standard (non-urgent) prior authorization requests, the rule requires a 7-calendar-day turnaround. These deadlines apply to the payer's initial determination — they must approve, deny, or request additional information within the specified timeframe.

The rule also requires payers to provide a specific reason for any denial. Under the previous system, payers could deny a prior authorization with a generic statement such as "not medically necessary" without explaining what clinical criteria were not met or what additional information would be needed to overturn the denial. Under CMS-0057-F, payers must articulate the specific basis for denial, making it significantly easier for providers to prepare targeted appeals.

Additionally, payers must begin public reporting of prior authorization metrics by March 2026, including approval rates, denial rates, average decision times, and appeal outcomes. This transparency requirement will, for the first time, allow providers and patients to compare payer performance on prior authorization and make informed decisions about plan participation. The rule applies to Medicare Advantage, Medicaid managed care, CHIP, and Qualified Health Plans on the federal exchange.

January 2027 — The API Mandate

The second phase of CMS-0057-F takes effect in January 2027 and represents a fundamental shift in how prior authorization submissions and decisions are transmitted between providers and payers. Affected payers must implement five standardized FHIR (Fast Healthcare Interoperability Resources) APIs:

• Patient Access API — allows patients to access their prior authorization data through third-party applications
• Provider Access API — enables providers to access patient coverage and authorization information from payers
• Payer-to-Payer API — facilitates data exchange between payers when patients switch plans
• Prior Authorization API — the central mandate, allowing providers to submit prior authorization requests, check status, and receive decisions electronically through a standardized interface
• Drug Formulary API — provides real-time access to drug formulary information

The technical standards are specific: HL7 FHIR R4, with SMART on FHIR and OAuth 2.0 for authentication and authorization. The Prior Authorization API is the most impactful for provider workflows because it will replace the current fragmented submission process — where each payer has its own portal, fax number, or phone line — with a standardized electronic interface. Providers will be able to submit requests, check status, and receive decisions through a single technical framework, regardless of which payer they are communicating with.

What This Means for Your Practice (Not Just Payers)

While CMS-0057-F places the compliance burden on payers, the implications for providers are significant and time-sensitive. Providers who automate their prior authorization workflows now will be positioned to integrate with payer APIs immediately when the January 2027 mandate takes effect. Practices that already use electronic PA submission platforms will have the technical infrastructure in place to connect to the new APIs with minimal additional implementation work.

The regulatory timeline creates urgency. Organizations that wait until 2027 to begin automating their prior authorization workflows will face a compressed implementation window — trying to deploy new technology, train staff, and integrate with payer APIs simultaneously. Practices that implement electronic PA submission today are already seeing 35% to 91% touchless submission rates (see case studies below), and they will have the operational maturity to leverage the new APIs from day one.

The CMS rule essentially forces the healthcare industry toward electronic prior authorization. The fax-and-phone era of PA submission is ending, not because of market forces, but because of federal mandate. The question for your practice is not whether to automate prior authorization — it is whether you lead the transition or scramble to catch up when the mandate takes effect. The practices that move now will have a 12-to-18-month head start in optimizing their electronic PA workflows before the API mandate makes electronic submission the industry standard.

How Automation Actually Works — Case Studies

The theoretical case for prior authorization automation is strong, but the practical question is whether it works in real healthcare environments with real payers and real clinical workflows. The following four case studies, drawn from published vendor case studies, demonstrate what automation looks like in practice across different organization sizes and clinical settings.

Fort HealthCare — 91% Submission Success Rate

Fort HealthCare, a community health system, implemented automated prior authorization through Notable Health's platform (Notable Health case study). The results were immediate and measurable: a 91% success rate on automated prior authorization submissions, meaning that 91 out of every 100 authorization requests submitted through the automated system were approved without requiring manual intervention, additional documentation, or resubmission.

Beyond the submission success rate, the platform saved 15 minutes per submission compared to the previous manual process. At 39 submissions per physician per week (the AMA average), that translates to nearly 10 hours of staff time saved per physician per week — recovering the vast majority of the 13 hours that the AMA survey identifies as the current PA burden. Staff who had previously spent their days on phone calls and fax submissions were redirected to patient-facing activities, improving both operational efficiency and the patient experience.

Disclosure: This case study was published by Notable Health, the vendor of the automation platform. The results are publicly documented but originate from the vendor's own reporting.

Care New England — 55% Reduction in Write-Offs

Care New England, a multi-hospital health system in Rhode Island, deployed Notable Health's prior authorization automation across multiple facilities (Notable Health case study). The implementation targeted the financial impact of authorization failures — specifically, the write-offs that occur when services are rendered without proper authorization or when authorization denials are not successfully appealed.

The documented outcomes were substantial: a 55% reduction in prior authorization-related write-offs, meaning the health system recovered more than half of the revenue it had previously been losing to authorization-related failures. The system also saved 2,841 staff hours annually — equivalent to approximately 1.4 full-time employees dedicated entirely to prior authorization work. Across multiple facilities, authorization compliance improved as the automated system ensured that no service requiring authorization was scheduled or rendered without the appropriate approval in place.

Disclosure: This case study was published by Notable Health. Results originate from the vendor's own reporting.

Cleveland Clinic — 88% Fewer Appeals

Cleveland Clinic, one of the largest academic medical centers in the United States, implemented prior authorization automation through Optum's platform (Optum case study). The results challenge a common assumption about prior authorization denials — that they are primarily driven by clinical disagreements between providers and payers.

Cleveland Clinic achieved an 88% reduction in prior authorization appeals. The appeal volume dropped because denials from missing information fell by 68%. The key insight is that most prior authorization denials are not clinical disagreements — they are information gaps. The payer did not deny the service because it disagreed with the clinical rationale. It denied the service because the submission was missing a required piece of documentation, used an incorrect code, or failed to include a specific clinical criterion that the payer's system required. Automation fills these gaps automatically by checking submission requirements against payer-specific rules, pulling relevant clinical data from the EHR, and ensuring that every submission is complete before it reaches the payer.

By submitting complete, accurate prior authorization requests with all required documentation, Cleveland Clinic eliminated the vast majority of denials that would have required time-consuming appeal preparation. The 88% reduction in appeals represents not just time saved, but denials prevented — authorizations that were approved on the first submission because the automated system submitted them correctly.

Disclosure: This case study was published by Optum, the vendor of the automation platform. Results originate from the vendor's own reporting.

MUSC Health — 35-45% Touchless Submissions

The Medical University of South Carolina (MUSC) Health system implemented Notable Health's prior authorization platform and achieved what many organizations consider the gold standard metric for PA automation: touchless processing (Notable Health case study). Between 35% and 45% of prior authorization submissions are now processed without any human intervention — the system determines the authorization requirement, assembles the necessary clinical documentation, submits the request to the payer, and receives the approval, all without a staff member touching the request.

The remaining 55% to 65% of submissions still require some level of human review, but with significantly less effort per submission than the previous fully manual process. The system handles the initial preparation and submission, and staff intervene only when the case requires clinical judgment, additional documentation that is not available in structured EHR data, or a payer-specific exception that the rules engine has not yet learned.

The MUSC Health case demonstrates an important reality about PA automation today: full end-to-end automation is achievable for a significant portion of prior authorization volume, but not yet for all of it. The 35-45% touchless rate represents the low-complexity, high-volume authorization types — imaging, durable medical equipment, standard specialty referrals — where requirements are predictable and documentation is structured. More complex authorizations, such as inpatient admissions and surgical procedures, still benefit from automation but require human oversight. The trajectory, however, is clear: as automation platforms learn from each submission, the touchless rate increases over time.

Disclosure: This case study was published by Notable Health. Results originate from the vendor's own reporting.

Calculating Your Prior Authorization Cost

The Formula — Your Physicians x Hours x Cost

The annual cost of prior authorization for your practice can be calculated with a straightforward formula: Number of physicians x Hours spent on PA per week x Staff cost per hour x 52 weeks. The AMA data provides the national average for hours (13 per week per physician), but your practice's actual number may be higher or lower depending on your specialty mix, payer composition, and current level of automation.

Use the calculator below to estimate your practice's annual prior authorization cost and the potential savings from automation. The default values are based on AMA 2024 averages, but you should adjust them to reflect your actual numbers for the most accurate estimate.

What Automation Could Save You

To illustrate the financial impact, consider two scenarios based on the AMA data and the case study results documented above.

Scenario 1: A 5-physician practice with a staff cost of $25 per hour and the AMA average of 13 hours per week spent on prior authorization per physician. The annual PA cost is 5 physicians x 13 hours x $25/hour x 52 weeks = $84,500 per year. With a conservative 70% time reduction through automation (based on the Fort HealthCare and MUSC Health results), the estimated annual savings would be approximately $59,150. That is enough to fund a full-time clinical support position or offset the cost of the automation platform several times over.

Scenario 2: A 15-physician practice with a staff cost of $30 per hour and the same 13 hours per week. The annual PA cost is 15 physicians x 13 hours x $30/hour x 52 weeks = $304,200 per year. With 70% automation, the estimated annual savings reach approximately $212,940. At this scale, prior authorization is costing more than the salary and benefits of five full-time employees, and automation can recover the majority of that cost.

These figures are conservative because they account only for the direct staff time cost of prior authorization. They do not include the indirect benefits that the case studies document: fewer denials (Cleveland Clinic saw 88% fewer appeals), faster approvals (Fort HealthCare saved 15 minutes per submission), reduced write-offs (Care New England achieved a 55% reduction), and reduced burnout-driven turnover. When those factors are included, the total financial impact of prior authorization automation is substantially higher than the direct time savings alone.

Ready to quantify your prior authorization costs with your actual data? We run a free analysis — 30 minutes, your numbers, zero commitment. Schedule yours here.

An Action Plan for Your Practice

Step 1 — Audit Your Current PA Process

Before you can reduce your prior authorization burden, you need to understand exactly where the time and money are going. Start by documenting every authorization type your practice handles — not just the high-volume ones, but every service category that requires prior authorization from any of your contracted payers. Most practices are surprised by the total count when they compile a comprehensive list.

Next, track time spent per authorization by payer and service type over a two-week period. Have your authorization staff log the time they spend on each request, broken down by the specific steps: determining whether authorization is required, assembling documentation, submitting the request, following up on pending requests, and handling denials or requests for additional information. This data will reveal which payers and service types consume the most staff time — and those are your highest-priority targets for automation.

Identify which payers and service types have the highest denial rates. Pull denial data from your practice management system or billing software for the past 6 to 12 months and sort it by payer and authorization type. High denial rates indicate either that the payer has particularly stringent requirements or that your current submission process is not meeting those requirements — both of which are problems that automation addresses directly. Finally, calculate your total PA cost using the formula and calculator above. Having a concrete dollar figure makes the case for investment in automation far more compelling than abstract complaints about administrative burden.

Step 2 — Identify High-Volume, High-Denial Payers

Not all payers contribute equally to your prior authorization burden. In most practices, 2 to 3 payers represent 60% to 80% of total PA volume. These are the payers where automation will produce the largest absolute time savings. Rank your payers by two dimensions: total PA volume (how many requests per week) and denial rate (what percentage of requests are denied on initial submission).

Focus your initial automation efforts on the payers at the intersection of high volume and high denial rate. These represent the greatest opportunity because they consume the most staff time and produce the most rework. A payer that accounts for 40% of your PA volume with a 15% denial rate is a far more valuable automation target than a payer with 5% of your volume and a 3% denial rate, even though the second payer's process may be smoother. Start with the highest-impact targets, demonstrate measurable results, and then expand to lower-volume payers as your automation maturity increases.

Step 3 — Evaluate Automation Options

When evaluating prior authorization automation platforms, prioritize four capabilities. First, the platform must integrate with your existing EHR and practice management system. Automation that requires staff to enter data into a separate system creates a parallel workflow rather than eliminating work — the goal is to automate within the existing clinical workflow, not alongside it.

Second, look for platforms that check authorization requirements automatically. The most time-consuming step in manual PA is often determining whether a service requires authorization for a specific patient's specific plan. Platforms that automatically check requirements based on the patient's payer, plan, and the ordered service eliminate this step entirely, preventing the scenario where a service is rendered without authorization because staff did not know it was required.

Third, evaluate the platform's submission success rate and touchless rate. The case studies in this article show a range from 35% touchless (MUSC Health) to 91% submission success (Fort HealthCare). Ask vendors for their metrics from practices similar to yours in size, specialty, and payer mix. Fourth, understand the integration timeline. Some platforms deploy in weeks, others take months. The faster you are live, the sooner you begin recovering the 13 hours per physician per week that the AMA data identifies.

Step 4 — Start With the Highest-ROI Authorization Types

Do not attempt to automate all authorization types simultaneously. Begin with high-volume, standardized authorization types: diagnostic imaging (MRI, CT, PET), durable medical equipment (DME), and standard specialty referrals. These authorization types have the most predictable requirements across payers, the most structured documentation in EHR systems, and the highest automation success rates. They are also typically the highest-volume authorization types in most practices, meaning the time savings compound quickly.

As your team gains confidence with the automation platform and your touchless rate stabilizes, expand to more complex authorization types: inpatient admissions, surgical procedures, and specialty medications. These require more nuanced clinical documentation and have more variable payer requirements, but the automation still handles the administrative workflow — assembling documentation, submitting requests, tracking status, and escalating deadlines — while clinical staff focus on the clinical judgment components.

Track results weekly during the first 90 days: submission success rate, touchless rate, time saved per submission, denials prevented, and appeals avoided. These metrics serve two purposes — they validate the ROI of the automation investment, and they identify areas where the platform's rules or integrations need refinement. Most platforms improve over time as they learn from submission outcomes, so the metrics you see in month one will be significantly better by month six.