A twelve-provider physician group delivers forty thousand visits a year, and every one of them becomes cash only if a chain of steps holds: coverage verified, charge captured, claim submitted clean, denial worked, patient balance collected, payment posted correctly. The group's owners see collections and a billing staff that is busy. The machine's performance lives in a dozen metrics that most groups have never put on one page, and the gap between a mediocre cycle and a good one is routinely 5 to 8 percent of expected revenue.
What happens before the claim exists?
Verification of benefits before the visit. Coverage active, the provider in-network and credentialed, copay and deductible status, referral or prior-authorization requirements for the visit type and any procedures; completed at scheduling or at least a day before, documented, with the patient told the estimated responsibility; the share of visits verified before the visit is the first metric, and a good group runs above 95 percent — because eligibility denials and surprise balances both start here.
Charge capture and lag. Every encounter produces charges the same day — evaluation-and-management level, procedures, supplies, ancillaries — with the diagnosis codes the documentation supports; the lag from date of service to charge entry is measured in days, and anything beyond two means claims age before they are filed and month-end revenue is understated; missing charges — procedures performed and never billed — are found by reconciling the schedule to the charges, and in groups that do it for the first time they run 1 to 3 percent of visits.
Coding accuracy as a revenue variable. Evaluation-and-management levels under-coded out of caution leave revenue on the table; over-coded levels draw payer audits and downcoding; a coding review on a sample by provider, quarterly, with education, is a revenue-cycle control rather than a compliance formality.
What is first-pass acceptance, and why does it matter?
The claim goes to the clearinghouse and either passes or rejects. Rejections for demographic errors, missing identifiers, invalid codes, or format problems return the claim before the payer sees it; each rejection is rework and a delay of ten to twenty days; first-pass acceptance above 97 percent means the front end and the scrubber are working; below 93 percent means the group is paying its billing staff to fix what intake should have captured.
How are denials measured and worked?
Denials by reason and by payer. Eligibility, authorization, timely filing, coding and bundling edits, medical necessity, duplicate, coordination of benefits, credentialing — each with an owner (front desk, authorization staff, coders, billing) and a fix; by payer, because a payer with a 14 percent denial rate against the group's 7 percent average is either applying edits the group's workflow does not anticipate or paying slowly by design; the initial denial rate target is under 8 percent, and the trend by reason shows whether the fixes are working.
Appeal economics. Each denial category has an overturn probability by payer and a cost to appeal in staff hours; a medical-necessity denial on a US$180 visit with a 40 percent overturn rate and ninety minutes of work is worth US$72 in expected value against roughly US$45 of cost — appeal it; a US$40 denial with a 20 percent overturn rate is not — unless the pattern is systemic and the appeal is really a conversation with the payer; the group appeals what pays, tracks the overturn rate by payer and reason, and reports the denials it chose not to appeal with the reason — because the write-off that was never decided is the one that compounds.
Timely filing. Each payer's window — 90 days to a year — tracked by claim, with a watchlist at 30 days before the deadline; a claim that misses the window is a total loss regardless of merit, and timely-filing write-offs above 0.2 percent of claims mean the queue is not being worked on a cadence.
What do days in receivables and aging by payer show?
Days in receivables is the cash cycle. Receivables divided by average daily net revenue; under 40 for a commercial-heavy group, under 50 with meaningful Medicaid; by payer, because the blended number hides the payer at 70 days; the aging — current, 31–60, 61–90, 91–120, over 120 — by payer with the share over 90 as the health indicator; and the allowance for uncollectible receivables set from the group's own collection rate by payer and age bucket, so the balance sheet carries what is real.
Payment posting and contractual adjustments. Electronic remittances posted within two days, line by line, with contractual adjustments separated from denials and from patient responsibility; a lump "adjustment" posting hides denials that could be appealed and balances that should be billed; the auto-posting share and the posting lag are measured.
Why are patient balances the fastest-growing receivable?
High-deductible plans moved a third of commercial revenue to the patient. Copays, coinsurance, and deductibles that must be collected from the patient; collected at the time of service from the verification data, they recover 85 to 95 percent; billed afterward on statements, 40 to 60 percent; the group's time-of-service collection rate — amount collected over estimated responsibility — is the single metric with the largest controllable revenue effect in most groups.
The mechanics. Estimates from verification, card on file with consent, payment at check-in or check-out, payment plans for large balances, statements within a week of the remittance rather than at month-end, and a policy on scheduling with an outstanding balance; patient-balance aging separately from insurance aging, with a defined point at which balances go to a collection process.
What about credit balances and refunds?
Overpayments are liabilities. Patient overpayments from estimates that exceeded the final responsibility, duplicate payments, and payer overpayments; identified monthly, refunded within the timeframes payer contracts and state law set, and subject to unclaimed-property rules for amounts that cannot be returned; the refund process runs with dual approval, because it is the most common vehicle for misappropriation in a small office.
What is net collection rate, and why is it the summary?
Net collection rate is cash collected over net expected revenue after contractual adjustments. It ignores the contractual write-offs the group agreed to and measures what the group collected of what it was entitled to; above 96 percent is a well-run cycle; 90 percent means the group is losing a tenth of its entitled revenue to denials, timely filing, uncollected patient balances, and missing charges — and the metrics above say where.
The monthly revenue-cycle page. Verification rate, charge lag, missing-charge rate, first-pass acceptance, initial denial rate by reason and payer, appeal overturn rate, timely-filing losses, days in receivables by payer, aging over 90 by payer, time-of-service collection rate, patient-balance aging, credit balances and refunds, write-offs by cause, net collection rate — one page, monthly, with trend, reviewed with the billing lead and reported to the partners.
Why is this CFO work?
The metrics join practice management, clearinghouse, remittance, and ledger data that live in four systems; the appeal economics are expected-value calculations; the allowance is a balance-sheet position; the time-of-service collection rate is a front-desk process with a revenue effect; and the monthly page is what makes the billing function accountable to the partners for results rather than activity. The billing lead owns the queue; the CFO owns the metrics and the controls.
Worked example
A twelve-provider multi-specialty group, US$14.6 million net expected revenue, in-house billing team of four.
| Metric | Found | Target | Annual revenue effect of the gap |
|---|---|---|---|
| Verified before visit | 71% | >95% | Eligibility denials and surprise balances ≈ US$140,000 |
| Charge lag | 6.2 days | <2 | Month-end revenue understated; claims aging before filing |
| Missing charges (schedule vs. charges) | 2.1% of visits | <0.3% | ≈ US$180,000 never billed |
| First-pass acceptance | 92% | >97% | Rework and 14-day delay on 8% of claims |
| Initial denial rate | 11% (eligibility 34%, authorization 22%, coding 19%) | <8% | — |
| Appeals filed on appealable denials | 38% | >80% | ≈ US$95,000 written off unappealed |
| Timely-filing losses | 0.9% of claims | <0.2% | ≈ US$62,000 |
| Days in receivables | 54 (largest commercial 61; Medicaid 68) | <42 | — |
| Time-of-service collection | 44% of estimated responsibility | >85% | ≈ US$210,000 uncollected patient responsibility |
| Credit balances outstanding | US$31,000; no refund cadence | Monthly, dual approval | Compliance exposure |
| Net collection rate | 91% | >96% | ≈ US$520,000 / yr |
Illustrative figures for a hypothetical organization; not a client's data.
The partners had been debating a rate negotiation worth perhaps US$90,000 a year; the revenue cycle was leaving US$520,000 of entitled revenue uncollected. The plan: a verification gate in scheduling with card on file; same-day charge capture with a schedule reconciliation; scrubber rules tuned to the group's top denial reasons; an appeal protocol by payer with expected values; a timely-filing watchlist; a time-of-service collection protocol with estimates; and a monthly refund cadence with dual approval. Net collection rate reached 95.5 percent in three quarters — about US$440,000 recovered — with the same billing team.