A four-physician practice asked us whether its billing team was too big. Two and a half full-time billers for four physicians felt heavy to the managing partner, who had read that one biller could handle two or three providers. The billers, meanwhile, said they were drowning. Both were reasoning from impressions. Nobody had counted how many claims went out, how many times each claim was handled before it paid, or how many denials each person cleared in a day.
When we pulled the numbers from the practice management system, the picture was specific. The team sent about 2,400 claims a month, which is 960 per full-time equivalent, a reasonable load. But the audit log showed 4,100 account touches on those claims, and 7 percent of claims consumed 40 percent of the touches. The team was not too big. It was spending its time on the same few hundred accounts over and over, mostly eligibility and registration errors it did not create and could not prevent from the back office.
This article lays out the billing staff productivity benchmarks we actually use, how to pull each one from your own system, what they look like in a well-run small practice, and how to measure people without teaching them to work fast and wrong.
Key takeaways
- Productivity in a billing office is a ratio of work completed to staff time, and the useful units are claims submitted per FTE, touches per claim, denials resolved (not touched) per day, and payment lines posted per hour.
- Touches per claim, the number of times anyone handles a claim from charge entry to zero balance, is the single best measure of billing efficiency because it counts rework, and rework is where the money goes.
- Every volume measure must be paired with an accuracy measure (first-pass acceptance, posting error rate, appeal overturn rate, rework rate) or staff will optimize the volume at the expense of the practice.
- Staffing is arithmetic: monthly claims times touches per claim times minutes per touch, divided by productive minutes per FTE, gives the FTEs you need, and lowering touches per claim is cheaper than hiring.
- Most productivity problems in small billing offices originate upstream, at registration and eligibility, and the billing metrics are how you prove it.
The measures, defined
A full-time equivalent (FTE) is 40 hours a week of scheduled staff time; two half-time billers are one FTE. Productive time is scheduled time minus meetings, breaks, training and leave, and in practice it runs about 1,600 to 1,700 hours a year per FTE, roughly 130 to 140 hours a month. A touch is any documented action on a claim or account: charge entry, a claim edit, a resubmission, a phone call, a note, a payment posting, an appeal. Your system's audit log or task history records these, even if no report shows them by default.
| Measure | Definition | Where to pull it | Pair it with |
|---|---|---|---|
| Claims per FTE per month | Claims submitted divided by billing FTEs | Clearinghouse submission report; HR schedule | First-pass acceptance rate (claims accepted by the payer on first submission) |
| Touches per claim | Total account actions divided by claims, from charge entry to zero balance | Practice management audit log or work queue history | Share of claims with one touch (the clean path) |
| Denials resolved per day | Denied claims brought to paid, adjusted or written off with a documented reason, per biller per day | Denial work queue closed-status report | Appeal overturn rate; reopen rate within 60 days |
| Payment lines posted per hour | Remittance line items posted per hour of posting time, manual and electronic separately | Payment batch report with poster and timestamps | Posting variance (posted versus deposited) and unapplied cash |
| Charge lag in days | Days from date of service to charge entry | Charge entry report with service date and entry date | Charge accuracy from coding audit sample |
| Cost to collect | Total billing cost (salaries, benefits, software, clearinghouse, postage, vendor fees) divided by collections | General ledger and deposits | Net collection rate |
Cost to collect is the measure the managing partner should care about most and the one that most small practices never compute, because the inputs live in the general ledger, not the billing system. It is also the one that puts an outsourcing decision on an even footing: a vendor's percentage fee is a cost to collect, and so is your in-house team's salary line divided by what they bring in. Rates for our own billing services are on the pricing page; the comparison is only meaningful once you know your internal number.
What the numbers look like when things are working
We are wary of quoting industry benchmarks as if they were targets, because a dermatology practice with 90 percent commercial payers and a pediatric practice with 60 percent Medicaid cannot be held to the same claims per FTE. What we can say from the practices we support is directional. A billing office where charges are entered within two days, eligibility is verified before the visit and remits post electronically usually lands between 800 and 1,200 claims per FTE per month, with touches per claim between 1.3 and 1.8. When touches per claim climb above 2.5, the office is a rework shop and adding staff will not fix it.
Denial work is where volume numbers mislead most. A biller can "touch" 80 denials a day by adding a note to each and moving on. Resolving 25 to 40 a day to a final status, with the reason coded, is more typical of good work on a mixed queue, and complex appeals with records can take an hour each. The metric that matters is resolved, not touched, and the pairing is the reopen rate: how many of those resolved accounts came back within 60 days because the fix did not hold.
Posting speed depends almost entirely on how much arrives electronically. Where 85 percent or more of remits come in as 835 files and auto-post, a poster's time goes to exceptions: unmatched payments, takebacks, secondary balances. Where paper explanations of benefits and virtual card payments dominate, manual posting swallows an FTE that should be working denials. Before judging a poster's lines per hour, look at the electronic remittance enrollment list.
A worked example: the 2.5 FTE question
Back to the four-physician practice. Monthly volume was 2,400 claims and 4,100 touches, so touches per claim was 1.71. The distribution told the story: 78 percent of claims had one touch (charge entry plus auto-posting), 15 percent had two or three, and 7 percent, about 170 claims, had four or more touches and accounted for roughly 1,650 of the 4,100 actions. Almost every one of those 170 had a registration or eligibility problem: wrong plan, terminated coverage, missing referral, wrong subscriber. The back office was cleaning up the front desk.
The staffing arithmetic looked like this. If the average touch takes 6 minutes, 4,100 touches is 410 hours a month. Add posting exceptions, patient statements and phone calls, about 80 hours, and the work is 490 hours. At 135 productive hours per FTE, that is 3.6 FTEs of work being done by 2.5 people, which is why the billers felt they were drowning even though claims per FTE looked fine. The partner's instinct that the team was oversized was wrong; the billers' instinct that they were understaffed was also wrong in the way that mattered. The practice did not need a fourth biller. It needed the 170 problem claims not to exist.
Six months later, with eligibility verification moved to two days before the visit and a registration accuracy check at the front desk, the same 2,400 claims generated about 3,200 touches, or 1.33 per claim. The work fit the 2.5 FTEs with room, denials resolved per day rose because the queue was smaller, and nobody worked faster. The improvement was upstream, and only the touches metric could have shown where.
Measuring people without punishing accuracy
Volume goals alone produce predictable behavior: billers write off small balances to clear queues, resubmit claims without fixing them, add notes that count as touches, and skip the appeal that takes an hour in favor of ten easy corrections. None of this shows up in a productivity report; all of it shows up in cash six months later. The remedy is to publish every volume measure next to its accuracy pair and to weight them equally in any review. Denials resolved per day sits beside the reopen rate. Claims per FTE sits beside first-pass acceptance. Posting lines per hour sits beside posting variance.
Add a sample audit. Ten accounts per biller per month, pulled at random from their closed work, reviewed against a short checklist: was the root cause identified, was the fix correct, was the note complete, was the write-off justified. Score it, share it, and keep the results for six months so trends show. This takes a supervisor about two hours a month per biller and it is the only way to know whether the resolved count is real. When we onboard billers through our training programs, this audit is what they are told to expect from the first week, and it changes how they work.
Finally, measure the team before you measure individuals. Half the productivity variation between billers is queue assignment: the person on Medicare Advantage denials will resolve fewer per day than the person on commercial eligibility rejections, and neither number says anything about skill. Normalize by queue or rotate assignments quarterly before comparing people.
Questions we hear
How many billers do we need per physician?
The ratio depends on specialty, payer mix, visit volume and how much the system automates, so a rule of thumb per physician is unreliable. Do the arithmetic instead: claims per month times touches per claim times minutes per touch, plus posting and patient account work, divided by productive hours per FTE. Then ask whether lowering touches per claim would change the answer before you post a job.
Our system does not report touches. How do we get the number?
Most practice management systems keep an audit trail or account history even when no report summarizes it; ask the vendor for an export of account actions by date and user for one month. If that fails, sample: pull 100 paid claims from 90 days ago and count the actions on each by hand. Two hours of counting produces a touches per claim figure and a distribution good enough to act on.
Should productivity metrics drive bonuses?
Only when paired with accuracy and only at the team level, in our experience. Individual volume bonuses in a billing office reward whoever holds the easiest queue and encourage the write-offs and blind resubmissions described above. A team bonus tied to net collection rate and days in accounts receivable, with an accuracy floor, aligns better with what the practice actually wants.
What to do this week
- Pull last month's claim count from the clearinghouse and divide by billing FTEs to get your claims per FTE.
- Export one month of account actions from the audit log, or count actions on 100 paid claims, to get touches per claim and the share of claims with one touch.
- List the claims with four or more touches and sort their root causes; expect registration and eligibility to lead.
- Rebuild the denial report to count resolved status, not actions, and add a reopen-within-60-days column.
- Compute cost to collect from the general ledger for the last quarter.
- Start the ten-account monthly sample audit per biller and record the scores.
