TL;DR — Fax triage software is priced either per document processed (commonly around 20 to 30 cents per fax handled end to end) or as a monthly platform fee that scales with volume. The offsetting cost is the manual labor it displaces: roughly 15 to 20 minutes of coordinator time per document under a fully manual process. For most endocrinology practices the ROI question turns on three inputs — daily inbound volume, loaded staff cost per hour, and the share of documents the system handles without human review.
The two pricing models, and which one favors you
Vendors price fax triage one of two ways, and the difference matters more than the headline number.
Per-document pricing charges for each fax the system processes end to end. Published figures in this category cluster around 20 to 30 cents per document. The appeal is that cost tracks usage — a slow month costs less. The risk is that a volume spike, like the January wave of plan-year resets and reauthorizations that endocrinology practices know well, arrives as a bill.
Platform pricing charges a monthly fee with volume tiers. Budgeting is predictable, which finance people like. The risk runs the other direction: you pay the tier whether you use it or not, and tier boundaries can force an upgrade over a modest volume increase.
Neither is inherently better. If your volume is steady, platform pricing is usually simpler. If your volume is seasonal or you're starting with a two-document-type pilot, per-document keeps you from overbuying. Honey Health prices its Fax Triage agent per document processed, which suits a phased rollout where you automate your highest-volume document types first and widen scope once the numbers are proven.
Ask both kinds of vendor the same question: what happens at 150% of my current volume? The answer tells you more about the real cost than the list price does.
The labor side of the equation
Here's where the number you're comparing against comes from.
Manual processing of an inbound clinical fax takes a coordinator somewhere between 8 and 20 minutes, with most published estimates landing around 15. That covers opening the document, reading enough to know what it is, identifying the patient, searching the EHR, confirming it's the right record, indexing it, and routing it onward.
That range is wide because practices differ. A refill request from a familiar pharmacy might take four minutes. A multi-page referral packet with an unclear patient identifier can take twenty-five. Use your own measured average rather than a vendor's, which is why the two-week baseline matters.
Convert to money with loaded cost, not wage. A coordinator at $22 an hour costs roughly $28 to $30 fully loaded once you count payroll taxes, benefits, and paid time off. Practices that model against the wage figure understate the return by about a third and then wonder why the projection didn't match.
One more adjustment worth making: count the interruption cost. Fax indexing rarely happens in a clean block. It gets done between patients, in gaps, by someone who is also answering the phone. Task-switching means the real minutes-per-document figure in a busy front office runs higher than a stopwatch measurement taken in a quiet room. You don't need to precisely quantify this, but you should know your baseline is conservative rather than inflated — which is a useful thing to be able to say when someone challenges the number.
Working the ROI math honestly
The formula is simple. The discipline is in the assumptions.
Annual manual cost = daily document volume × minutes per document ÷ 60 × loaded hourly cost × 250 working days
Run it across volume bands rather than inventing one representative practice:
- 30 documents/day at 12 minutes and $29/hour loaded: about $43,500/year in indexing labor
- 60 documents/day, same assumptions: about $87,000/year
- 100 documents/day, same assumptions: about $145,000/year
Then apply an automation rate. This is the assumption that deserves the most scrutiny, because it's the one vendors state most optimistically. A defensible planning figure is 70 to 80% of documents handled without human review once the system is tuned — not on day one. Documents in the exception queue still cost staff time, though much less, since confirming a pre-populated match takes seconds rather than minutes.
At 60 documents a day, 75% automation, and $87,000 of baseline labor, you're looking at roughly $60,000 to $65,000 of displaced labor cost against a platform cost that — at 30 cents a document, 250 days — runs about $4,500. That gap is why the category exists. It's also wide enough that you should be suspicious of it and check the assumptions against your own numbers before repeating it to your board.
The returns that don't show up as labor savings
The hours are the easy part of the case. These are the ones practices forget to count.
Faster authorization turnaround is revenue timing. When a payer determination sits three days before someone reads it, the device ships three days later and the associated revenue books three days later. Across a few hundred diabetes technology patients a year, that moves real cash flow — and the research context makes the clinical stakes plain: 46% of CGM prescriptions delayed by an average of 82 days under PA requirements. Days you add to that are days you chose.
Fewer process denials. Denials caused by missed deadlines, stale documentation, or incomplete submissions are different from denials on medical necessity. The first category is addressable by handling documents faster, and most practices haven't separated the two in their reporting.
Less overtime and temp coverage. Fax backlogs don't wait for someone's vacation. The overtime and agency coverage that absorbs a two-week absence is a real line item that disappears when the backlog doesn't form.
Retention. Experienced coordinators who spend their days indexing faxes leave for jobs that don't, and replacing one costs months of productivity plus a recruiting cycle. MGMA polling has found medical assistants the hardest role to recruit for 47% of practice leaders.
Absorbed growth. The practice that adds two providers without adding back-office headcount has banked a return that never appears as a savings line.
What the first year actually costs you
Be straight with your finance partner about the things that don't look like savings.
Implementation time. Connecting the fax line and EHR, configuring routing rules, and tuning thresholds takes staff attention even when the vendor does the heavy lifting. Budget someone's partial time for four to six weeks.
The parallel run. For two to four weeks, the AI processes everything and a human checks its work. That's temporarily more labor, not less. Skipping it is how practices end up with a misfiled document and a staff that no longer trusts the system.
Exception queue staffing. The automation rate you model is not 100%, which means someone owns the remainder. That's a named role, not spare capacity.
Your EHR fax module probably stays. It's still the system of record and usually handles outbound faxing. Don't model its cost as eliminated.
Net of all that, payback periods under 90 days are widely cited in this category. Treat that as vendor-reported rather than independently audited — the number comes from vendor case studies, not third-party analysis. Your own baseline is the only figure you should stake a decision on.
The broader direction of travel is well documented, though. The 2025 CAQH Index reported a 17% increase in administrative cost avoidance through automated transactions and identified a remaining $21 billion annual savings opportunity from automating manual and partially manual administrative work.
How to build the business case in two weeks
A compressed version of the exercise:
- Count for ten working days. Inbound volume, document-type mix, minutes per document, turnaround from arrival to filed. Include at least one bad week if you can.
- Get the real loaded cost from whoever runs payroll. Don't estimate it.
- Run the annual manual cost using your numbers, not the bands above.
- Quote two vendors on both pricing models and model each at current volume and at 150%.
- Model automation at 70%, not 90%. If the case works at 70, it works. If it only works at 90, you're betting on the vendor's best case.
- Add the second-order returns as a named but unquantified section. Claiming precision you don't have weakens the parts you can defend.
Frequently Asked Questions
What does fax triage software cost per month?
It depends on model and volume. At per-document pricing around 25 cents and 60 documents a day across 250 working days, that's $3,750 a year, or roughly $310 a month. Platform pricing for higher-volume practices generally runs from the low hundreds into the low thousands monthly depending on tier. Get quotes on both structures — which one is cheaper varies by practice.
Is it cheaper than hiring another coordinator?
For most practices past roughly 40 inbound documents a day, yes, by a wide margin — the software cost is a fraction of a loaded salary. The more useful framing is that it isn't an either-or. Practices generally keep the coordinator and redirect them to exception handling, denials, and authorization follow-up.
How quickly do we see savings?
Labor impact shows up once the parallel run ends, typically six to ten weeks in. Turnaround improvement is visible within days of go-live. Denial-rate improvements take a quarter or two, since you need enough volume to see the pattern shift.
What if our automation rate comes in lower than promised?
The most common causes are dirty patient data in the EHR and an unusually varied document mix. Both are diagnosable. Ask any vendor, before signing, what their remediation path looks like when the rate underperforms and whether pricing adjusts. A vendor with a clear answer has had the conversation before.
Do we need to replace our EHR's fax module?
No, and most practices don't. The triage layer handles inbound classification and filing while the EHR module remains the record system and usually handles outbound. Model the EHR module's cost as ongoing.
How do we justify this to a board or PE sponsor?
Lead with the labor math, since it's the most defensible number. Follow with authorization turnaround expressed as revenue timing, which sponsors tend to care about more than headcount. Close with the growth argument: back-office capacity that scales without linear hiring is the part that changes the operating model.
