What Does 40 Authorizations a Week Actually Cost a Practice in Hours and Payroll?
The requests keep coming, and they scale with your visit volume. Every good month, every new referral pattern, every added service line adds authorizations, but the people who process them are a fixed headcount who were already at capacity last quarter.
How to Take the Weekly Authorization Drain Off Your Practice
The goal is simple: every clean request submitted same business day and the weekly hours returned to your clinical team, without hiring a full FTE against a peak you cannot predict. Here is what does that, move by move.
1. Measure What the Volume Actually Costs in Hours
Before you staff against it, put a real number on it. Count your authorizations per week by service line, biologics, sleep testing, imaging, and multiply by the honest time each takes end to end: the submission, the follow-up, the peer-to-peer, the appeal. Most specialty practices find the total lands near the AMA benchmark of roughly 13 hours a week per physician, which is close to a day and a half of clinical and staff time. You cannot right-size capacity for a workload you have never measured, and the number is almost always larger than the practice assumed.
2. Scale Capacity With Volume, Not Against a Peak
The core problem is that authorization volume flexes with visit volume while your headcount is fixed. Hire one full-time coordinator and you are underwater in a busy month and overpaying in a slow one. The move is elastic capacity: a dedicated pod that scales up when requests spike and down when they ease, so you pay for the volume you actually have rather than betting on a peak. That is how a two-physician practice covers the equivalent of an extra FTE it could never justify hiring outright.
3. Guarantee Same-Business-Day Submission for Clean Requests
Aging is where the cost turns clinical. A request that sits three days can miss a deadline, delay a study, and push care past when it mattered. The fix is a same-business-day submission guarantee for every clean request: it goes out the day it is ordered, tracked to a decision, with only the genuinely incomplete ones held for a quick clarification. When submission stops queuing behind everything else, the backlog that used to age past deadlines simply stops forming.
4. Report the Hours Returned Every Week
The drain is invisible until you measure what you got back. Every week, the practice sees a simple report: requests submitted, average time to submission, hours of clinical and staff time returned, and any request at risk of a deadline. That number is the point of the whole exercise, because 13 hours a week per physician handed back to patient care is the return that pays for the coverage several times over, and it is only real if someone reports it.
5. Hand the Volume to a Dedicated Team That Scales
Practices that stop drowning in authorization volume do it by handing it to a dedicated team that scales with their requests: remote specialists who submit same day, track every decision, own the peer-to-peer, and report the hours returned, live in 1 to 2 weeks. The physicians go back to reading studies and seeing patients, a trained backup covers every gap, and the auth queue stops growing faster than anyone can work it. Below is what it sounds like when nobody owns it yet, in providers' own words.
Key Pain Points and Discussions by Providers
representative composite examples based on common workflow discussions
“I sat down and counted it. Two of us generate somewhere near 78 requests a week across biologics, sleep studies, and imaging. The honest math said we needed a full extra person and a half just for auth, and we do not have that in the budget, so the requests just sit.” composite example: physician, pulmonology practice
“Every busy month makes it worse, not better. More visits means more authorizations, but I still have the same two people processing them. The volume grows and the capacity does not, and the gap turns into requests aging past their deadline.” composite example: practice administrator, specialty group
“People think auth is a quick fax. It is not. It is the submission, then the follow-up call, then the peer-to-peer, then the appeal, times forty a week. By the time you add it up it is more than a full day of somebody's time gone, every single week.” composite example: office manager, pulmonology practice
“I cannot hire against our peak. If I staff for the busy month I am overpaying every slow week, and if I staff for the average I am underwater every time we get busy. There is no headcount number that actually fits a workload that moves this much.” composite example: practice manager, specialty practice
“The requests that age out are the ones that hurt. A sleep study or a biologic sitting three extra days because the queue is too long is a patient waiting, and it is my name on the order. It is not that anyone is lazy, there is just more work than hands.” composite example: physician, pulmonology practice
Our Answer
Here is what we actually do. A dedicated remote specialist pod absorbs your weekly authorization volume and scales with it, up in a busy month, steady in a slow one, so you pay for the requests you actually have instead of a fixed headcount you have to guess at. Every clean request goes out same business day, tracked to a decision, with peer-to-peers owned and appeals worked before deadlines slip, and every week you get a report of requests submitted and hours of clinical and staff time returned to the practice. Our teams include trained healthcare operations professionals with backgrounds that may include medicine, nursing, and pharmacy, working inside your EMR and payer portals, with approved AI tools assisting with first-pass and a human verifying every submission. This is our prior authorization support paired with an AI-first workflow, in one paragraph.
Why This Keeps Happening
If it is just paperwork, why does the volume cost so much? Because a single authorization is not one action; it is a chain. The American Medical Association's prior authorization survey reports practices average roughly 39 authorizations per physician per week and spend about 13 hours a week processing them, close to a day and a half of physician and staff time. Each request can carry a submission, a follow-up, a peer-to-peer, and an appeal, and specialty categories like biologics, sleep testing, and advanced imaging are among the most heavily managed. Multiply that chain by 40 a week and the hours are not a rounding error; they are a part-time job that no one budgeted, absorbed by clinical staff who already had one.
The structural trap is that volume and capacity move in opposite ways. Authorization volume flexes with visit volume, up in a busy month, up again when you add a service line, while your coordinator headcount is fixed. The AMA survey found 40 percent of physicians now have staff who work exclusively on prior authorization, which is exactly the FTE a growing practice needs and often cannot justify hiring against an unpredictable peak. So the gap between requests and capacity widens every good month, and that is what an AI prior authorization automation workflow with human oversight is built to close, by scaling with the volume instead of against a headcount number.
And the cost is not only payroll; it turns clinical when requests age. The same AMA work reports that 94 percent of physicians say prior authorization delays necessary care, and that 78 percent say it can at least sometimes lead patients to abandon a recommended treatment. When a sleep study or a biologic sits three extra days because the queue is too long, that delay is not an administrative footnote; it is a patient waiting on a decision that should have gone out same day. The lost hours are real, and the delayed care behind them is worse.
Most groups have already tried the obvious fixes before they talk to anyone. Each one fails the same way: the work lands back on the practice. The pattern, in one table:
| What you tried | What actually happened | Who ended up doing the work |
|---|---|---|
| Absorbed the volume with existing front-desk staff | Requests aged behind check-in and check-out, and the queue grew every busy month | Whoever had a minute between patients |
| Hired one full-time authorization coordinator | Underwater in busy months, overpaying in slow ones, and out entirely when the coordinator was sick | One fixed headcount against a moving workload |
| Made the physicians handle their own peer-to-peers | Lost clinical hours to phone tags and a day and a half a week of doctor time gone | The physicians, pulled off patient care |
| Gave the volume to a dedicated remote pod that scales | Same-business-day submission, capacity that flexes with requests, hours returned reported weekly | Someone whose whole job it is |
The Solution
So what does "someone whose whole job it is" look like against 40 requests a week? The pod absorbs the volume and flexes with it, up when a busy month or a new service line spikes requests, steady when it eases, so the practice pays for the work it actually has instead of a fixed headcount guessed against a peak. Every clean request goes out same business day and is tracked to a decision, so the backlog that used to age past deadlines stops forming. Most of what drains a specialty practice is submission and follow-up labor, and that is exactly what dedicated prior authorization support is built to absorb.
For the categories that fight back, biologics, sleep testing, advanced imaging, the specialist owns the peer-to-peer and the appeal too, so the physician is not pulled off the floor to argue a study. For a pulmonology practice specifically, that coverage maps to the exact service lines that generate the most requests, which is why pulmonology prior authorization services are scoped to the studies your practice actually orders rather than a generic template. The hours that used to disappear into the auth queue come back to patient care.
Behind all of it, Approved AI tools may assist with the first pass and a trained human reviewer verifies. The workflow assembles the request, flags the deadline, and tracks the decision; a person confirms the clinical case is right and owns the peer-to-peer and appeal. Every security control that protects the chart data moving through that process is documented and auditable, and the whole approach is described on our HIPAA and security page, because moving clinical documentation through an auth workflow at volume is only safe when the controls are real.
Who Actually Does This Work
Fair question: why would an outsourced team handle your authorization volume better than your own staff? Because processing authorizations is their entire day, not the thing they squeeze between check-ins. The people working your requests include trained healthcare operations professionals with backgrounds that may include medicine, nursing, and pharmacy, all trained in US prior authorization and specialty workflows. They know how each payer wants a biologic or a sleep study documented, how to run a peer-to-peer so the physician makes the strongest case on the call, and how to keep 40 requests a week moving without a check-in line pulling them away. That is not a task handed to whoever is free; it is a specialty that scales.
We are not a call center. We are a clinical operations partner, a healthcare BPO built on dedicated virtual staff: 500+ team members, 24/7 coverage, and the AI-assisted plus human-verified workflow you just read about behind every one of them. A typical practice is live in 1 to 2 weeks, at approximately 68% below equivalent in-house staffing costs, and because capacity flexes with your volume, you are never overpaying in a slow month or underwater in a busy one. No one on our side goes out without a trained backup already inside your workflow, so the queue does not have to stall because one coordinator is on vacation.
And the security piece your compliance officer will ask about: Staffingly maintains active ISO/IEC 27001:2022 certification and operates under HIPAA-compliant controls and signed BAAs. SOC 2 Type II reporting and security controls apply according to the relevant entity, client environment, facility, device, and workflow. Venn Blue Border and related workstation restrictions are used where applicable. Staffingly maintains $5M in professional liability (E&O) and cyber insurance as part of its enterprise risk-management program; the full detail lives in our HIPAA and security posture.
Put the routine and the people together, and a specific list of things simply stops happening.
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How We Build a More Durable Process
A person alone is not the fix, and neither is a bot alone. The fix is a documented authorization workflow with elastic capacity: how each payer wants each service line documented, the submission standard for a clean request, the peer-to-peer rules, and the weekly report of hours returned, all written down and worked the same way every time. Before we take a single request for a new practice, we count your authorization volume by service line and measure the hours it consumes, so we can size capacity against your real workload rather than a guess, and scale it as your volume moves.
From there the workflow becomes a living playbook rather than tribal knowledge in one coordinator's head. It records how each payer wants biologics, sleep testing, and imaging documented, the same-business-day submission standard, the peer-to-peer path, and the weekly hours-returned metric so the value stays visible. It is written down, kept current as payers change their rules, and owned by the team. When your specialist is out, a trained backup works the same playbook the same way, so the queue never backs up because one person is gone.
That is the difference between surviving this month's volume and fixing the process for good, and it is what a dedicated prior authorization partner actually buys you. A coordinator leaving used to mean the queue backed up and requests started aging again. Under this model the workflow keeps running, the playbook stays, the backup steps in, and 40 auths a week stops being the workload that quietly eats your clinical hours.
The Whole Thing in Four Sentences
Forty authorizations a week costs a practice roughly 13 hours of physician and staff time, close to a day and a half, plus the unbudgeted payroll of an FTE that fixed headcount cannot cover once volume outruns capacity, and the clinical cost of requests that age past their deadline. Absorbing it with front-desk staff, hiring one coordinator against a moving peak, or making physicians run their own peer-to-peers all fail the same way. The fix is to measure the true hours, scale capacity elastically with request volume, guarantee same-business-day submission for clean requests, and report the hours returned every week. A pulmonology and specialty group can use this workflow without exposing patient information or naming client organizations.
If you want to check us out before talking to anyone: our security posture is independently auditable, we are an MGMA 2026 Corporate Member, and 800+ providers run back office work with us.
Ready to take back your auth hours? Start with a Two-Week Free Trial: your real weekly volume, a dedicated pod submitting same day and reporting the hours returned, and if it does not earn the handoff, you walk away. From here down is the sales part, and it is short: here is exactly what it costs.
One Flat Weekly Rate. 45 Hours of Coverage.
No hourly meters, no setup fees, no security deposits, no long-term contracts. Two-Week Free Trial. Your dedicated team member covers your desk 45 hours every week, and a trained backup steps in at no charge whenever they are out.
One dedicated remote specialist absorbing your weekly authorization volume end to end, single-site pulmonology or specialty practice
5+ remote specialists scaling with request volume across a multi-provider pulmonology or specialty group and several sites
10+ remote specialists, multi-location specialty network, MSO, or PE-backed platform running authorization volume across many physicians
45 hours of coverage at one flat weekly rate.
For a simple annual comparison, 40 hrs x 52 weeks = 2,080 hours. A Staffingly plan: 45 hrs x 52 weeks = 2,340 hours a year, that is 260 additional hours included in your flat rate. $399/week x 52 = $20,748 a year / 2,340 hours = $8.87 per hour.
Take Back Your Auth Hours This Month
You have seen the whole method. The trial lets you test it on your own weekly volume, with an hours-returned report your team can watch every week.
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Frequently Asked Questions
Where the Claims on This Page Come From
Sources & References
- American Medical Association, "Nearly 40 prior authorizations a week is way too many." Reporting that practices average roughly 39 authorizations per physician per week and spend about 13 hours a week processing them. ama-assn.org
- American Medical Association Prior Authorization Physician Survey. Physician-reported data on prior authorization volume, staffing, care delays, and treatment abandonment. ama-assn.org