Quick answer: The ROI of automating prior authorization on AdvancedMD is the hours saved per auth multiplied by your monthly PA volume and loaded staff cost, plus the revenue recovered from fewer authorization-related denials. Most mid-to-large independent practices see payback within roughly 90 days on labor savings alone, before counting prevented denials. The return scales with volume, so the more auths you run, the faster automation pays for itself versus hiring another coordinator.
The ROI formula, and why most practices have never run it
The core math is simple: hours saved per auth × monthly auth volume × loaded staff cost, plus the revenue you protect from fewer denials and expired authorizations. The hard part isn't the formula — it's that most independent practices have never priced their current PA process, because the work is smeared across coordinators, medical assistants, and physicians who don't log it as a line item.
Start with the baseline. The 2025 AMA prior authorization survey found practices average about 40 prior authorization requests per physician per week, consuming roughly 13 hours of combined staff and physician time. For a mid-to-large independent practice, multiply that across your provider count and you have a real number — often one to two full-time-equivalents' worth of labor disappearing into portals and hold music.
The other anchor is cost. CMS estimates manual prior authorization runs about $34,000 per provider per year in administrative burden. For a CFO, that per-provider figure is the cleanest way to size the problem before modeling the fix. Whatever automation costs, it's competing against that number — and against the cost of the next coordinator you'd otherwise hire.
What goes into the return — three channels
PA automation pays through three channels, and a credible business case treats each one differently rather than lumping them into a single optimistic number.
Reclaimed labor is the defensible floor. Automation removes data gathering, submission, and status-chasing from the routine majority of auths; your staff keeps the exceptions. This is nearly certain and easy to measure, so build your payback case on it alone and treat everything else as upside.
Denial prevention is the second channel. Authorization-related denials — missing auth, expired auth, mismatched codes — are among the most preventable, and each one is revenue a fully staffed manual process still loses because people get busy and authorizations slip. Model this conservatively, assuming automation prevents a third to half of your auth-related denials.
Throughput is the largest and least certain channel. An imaging or procedure auth that clears in two days instead of nine is a service that happens a week sooner, and faster turnaround also keeps patients from leaking to practices with shorter waits. Track this after go-live rather than promising it up front — it's real, but it's the hardest to forecast.
A worked example you can rebuild for your practice
Numbers make this concrete. Take a mid-to-large independent practice with twelve providers on AdvancedMD. At the AMA-measured average of roughly 40 auths per physician per week, that's about 480 auths a week, or roughly 2,000 a month.
Suppose native electronic channels and AdvancedMD's ePA handle a portion cleanly, leaving about 1,200 manual auths a month running through portals and fax. At a conservative 25 minutes of cumulative touch time each — gathering data, keying the portal, checking status — that's about 500 staff-hours a month. At a fully loaded $30 an hour, that's roughly $15,000 a month, or about $180,000 a year, spent on authorization busywork.
Apply automation with an 80% touchless rate on that manual volume, and roughly 960 auths process without staff touches; the remaining 240 exceptions get a short, informed review. Monthly staff time drops to around 110–130 hours, recovering on the order of $11,000–$12,000 a month — about $135,000 a year — in labor capacity. Hold that against the software cost at your volume, and for a practice this size the labor line alone clears it several times over. That's before a single prevented denial.
What does PA automation cost, and how is it priced?
A CFO can't model ROI without the cost side, and prior authorization automation comes in a few pricing shapes worth knowing before you take a single demo.
- Per-transaction pricing charges a fee per PA request, often in the range of a few dollars to low double digits. It scales directly with volume, which makes it easy to model but expensive at high volume.
- Subscription pricing charges a monthly fee, commonly from several hundred to several thousand dollars depending on volume and features. Predictable, and usually cheaper per auth as volume climbs.
- Per-provider licensing ties cost to your provider count rather than auth count.
- Manufacturer-funded models exist for some medication-PA tools, which are free to the practice because pharma pays — though these are usually scoped to drug authorizations, not medical.
Whatever the model, the comparison that matters is cost per auth against your manual baseline. Get a quote tied to your actual monthly volume, and ask what's included — implementation, integration, and exception handling are sometimes separate lines. A platform like Honey Health prices its Prior Authorization agent against your volume and runs it alongside eligibility, denials, and other back-office agents, so the per-auth cost can be weighed against the whole workflow it touches, not just submission.
Build vs. buy vs. hire — the decision a CFO actually faces
The real question isn't "is automation good." It's whether the next unit of PA capacity should come from software, an internal build, or another hire. Each has a different cost curve.
Hiring scales linearly. Every increment of volume needs another fraction of a coordinator, and that person needs recruiting, training, benefits, and a desk — plus PA work is burnout-prone and turnover-heavy, so you re-pay those costs periodically. It's the familiar option, which makes it feel cheaper than it is.
Building your own automation is rarely worth it for an independent practice. The engineering to navigate dozens of payer portals and maintain them as they change is a product company's full-time job, not a side project for your IT contractor.
Buying automation converts a linear staffing cost into a near-fixed one: once it's integrated, marginal volume is close to free. The trade-off is upfront integration effort and a tuning period. For a mid-to-large independent practice with real PA volume, buying usually wins — you get the capacity of an added hire without the recruiting cycle, the turnover, or the linear cost curve.
How to model payback honestly so it survives scrutiny
A business case that overpromises dies the first time a partner asks a hard question. Two modeling disciplines keep your projection credible in front of a board or partnership.
First, model the touchless rate at 75–85%, never 100%. Real volume always includes peer-to-peer reviews and judgment calls that should route to humans, and a model assuming total automation collapses on contact with reality. Present labor savings as the floor and denial prevention as tracked upside.
Second, model year one on about ten months, not twelve. The first quarter runs below steady state while the system learns your payer mix and your team builds trust. Account for that tuning quarter and your payback timeline holds up. Then prove it after launch: track touchless rate, staff hours on PA, auth turnaround time, the auth-related denial rate, and cost per auth against your pre-launch baseline at 30, 60, and 90 days. Practices that treat go-live as a shared tuning project hit their modeled numbers; those that treat it as done usually leave a third of the return unclaimed.
Frequently asked questions
What's the ROI of automating prior authorization on AdvancedMD?
The ROI is hours saved per auth multiplied by monthly auth volume and loaded staff cost, plus recovered revenue from fewer authorization-related denials. For a mid-to-large independent practice with real PA volume, automation typically pays back within about 90 days on labor savings alone, with denial prevention and faster throughput following over subsequent billing cycles.
How do you calculate prior authorization automation ROI?
Time a sample of your own auths for the per-auth touch time, multiply by your monthly auth volume and fully loaded staff cost, and that's the labor floor. Then add conservatively modeled denial prevention — assume a third to half of auth-related denials prevented — and track throughput gains after go-live. Use loaded staff cost, not base wage.
Is it cheaper to automate prior authorization or hire another coordinator?
For a practice with real volume, automation usually wins. Hiring scales linearly with salary, benefits, turnover, and training, while automation has higher upfront integration cost but near-zero marginal cost per auth. The more auths you run, the more decisively automation beats adding headcount; at low volume, the gap narrows.
How quickly does PA automation pay for itself?
Practices with meaningful volume typically reach payback within about 90 days, or two to three quarters, on labor savings alone. Model year-one savings on roughly ten months of steady-state performance to account for the tuning quarter, when the system runs below its eventual touchless rate while learning your payer mix.
What revenue does automation recover beyond labor savings?
It recovers revenue lost to expired and missing authorizations and mismatched codes — denials a manual process incurs no matter how well-staffed, because authorizations slip when people get busy. Tracking auth windows and assembling complete requests turns those recurring write-offs into captured revenue, which is upside on top of the labor savings.
Does ROI depend on practice size?
Yes. The return scales with PA volume, so larger and busier practices see payback fastest because labor and denial savings compound across more auths. A mid-to-large independent practice usually has enough volume for a strong return; very small practices should model the return against their actual monthly auth count rather than assume it.
