The Practice Variability Tax Calculator

Variability is eating your practice's margin.

Your annual practice variability tax
$0
that's $0 every month

Conservative estimates, leaking from a practice doing $0 a year.
Twelve answers, two minutes.
Watch it move.

1Your practice
Providers seeing patients12
Completed visits per provider per week40
Average reimbursement per visit$110
2The front of the house
No-show + late-cancel rate
Patients who need a follow-up that actually get scheduled
Card on file for no-show fees?
Copay, deductible, and coinsurance collected up front
Prior balances collected before or at the visit
3The back of the house
Claims paid on the first pass (clean claim rate)
Who works your denials?
How long notes sit unsigned
How do you catch visits that never got billed?

This calculator estimates. PracticePath measures.

Every number above already exists in your practice management and EHR system. PracticePath can read it directly. No estimates, no integration project, no new data entry. Here is exactly where each leak lives in your data.

Follow-ups never booked
Patients recommended for ongoing care who never rebooked. The absence of an appointment is not a line item, so no report shows it. PracticePath can.
Lapsed patients
Patients who quietly stopped coming, found before they are gone for good. No alert fires when someone simply does not return.
Balances in your lobby
Patients with open balances who had an appointment this week. They were standing at your desk. PracticePath can put that list at check-in.
Expired cards on file
Cards that quietly expired and stopped renewing. PracticePath can build the weekly renewal worklist before payments start failing.
No-shows & unbilled fees
Appointment history against the charge ledger. Every no-show with no fee attached, by provider, by week.
Unsigned notes
Note signature timestamps against claim dates. Exactly whose notes sit, and how long.
Missing charges
Completed visits with no charge line behind them. Caught nightly, not at month-end close.
Denials waste
Remits joined to follow-up activity. Denials and rebills with zero actions logged. Your RCM or internal team's "we're working it," audited.
Payment posting
Payments received but posted late, misapplied, or never posted at all. Your AR is wrong in both directions, and your cash forecast inherits the error.
Payer underpayments
What the contract says versus what the payer actually paid, line by line. Short-pays hide inside "paid" claims, so nobody disputes them.
Phantom AR
Balances that look collectible but were silently written off or reclassified. The aging report says one number. The collectible truth is another.
Rebill churn
The same claim billed 4, 5, 6 times while the root cause never gets fixed. Nobody counts the attempts. PracticePath can.
Nightly leak checks — a sample of 41
-- Money nobody billed, money nobody worked, money nobody noticed.
Check 04   Follow-up recommendations with no future appointment
Check 07   No-shows with no fee ever attached
Check 09   Patients with open balances on today's schedule
Check 12   Payments received but never posted or left unapplied
Check 14   Completed visits with no charge on the ledger
Check 17   Paid claims that came in under the contracted rate
Check 19   Denials with zero follow-up actions logged
Check 23   The same claim on its 4th billing attempt
Check 28   Cards on file that expired last month
Check 31   Notes unsigned past the payer's filing window
Check 36   Balances silently reclassified out of AR
The root cause

Twelve obvious leaks. Likely more hiding. One cause: nobody owns the watching.

Every leak above survives the same way. The owner sees a P&L, an AR report, and whatever someone remembers to mention. PracticePath can put every number on this page in front of the owner or investors (PE) daily, by provider, by week, with dollars attached. The oversight is the product.

Want to know which of these numbers is real?

Send us this scenario and let's have a conversation about your numbers. No pitch deck, no obligation. Just your data and where it points.

Your answers and results ride along with the submission, so the first reply already knows your scenario.
Show the math and every assumption

Base revenue = providers × visits/week × 46 working weeks × rate. Assumption

No-show benchmark = 5%. Leakage counts only slots above benchmark; half assumed recoverable via reminders and waitlist backfill. Assumption

No-show fees = $50 per no-show. Unbilled share depends on card capture: 5% if auto-charged, 60% if on file but unenforced, 95% with no card. This is cash, not revenue. There is no payer and no claim behind it. Assumption

Clean claim benchmark = 95%+ first pass. HFMA / industry

Rework cost = $25 per non-clean claim, the low end of HFMA's $25–$118 range. HFMA

Never recovered = 8–25% of first-pass failures, by who works denials. Contingency RCM vendors work the claims that pay them; small-balance and hard-appeal denials age out untouched. Assumption

Follow-ups never booked = 3–14% of gross revenue by how tightly rebooking is tracked, valued at visits lost over 12 months. Real diagnostics have found up to 43.5% of follow-up patients never returning. Assumption

Discovery line = 1% of gross revenue, the minimum every deployment uncovers that was on nobody's radar. Rebill churn, duplicate claims, expired cards, payer-specific quirks. Assumption

Automation = 80% of each leak, not 100%. Exceptions are real and humans stay in the loop for them. Design target

Patient responsibility = 20% of revenue, split 60% current-visit cost share and 40% prior balances. MGMA Stat: up-front copay collection fell to 56% by 2022; prior-balance collection at the visit sits near 39%. Money collected later assumed 30% uncollectible. MGMA Stat + Assumption

Charge capture benchmark = 95%+; slip rates of 0.5–3% by review cadence. Industry + Assumption

Note lag cost = revenue delayed × days × 10% annual cost of capital, plus 0.5% timely-filing write-off risk at 14+ days. Assumption

Margin meter assumes a 20% target operating margin for a well-run group practice. Assumption

Estimates only. Your actual numbers come from your actual data, which is the point. Sources: MGMA Stat patient balance collection polling (2023); HFMA denial rework cost research; industry clean-claim and charge-capture benchmarks.

© 2026 PracticePath. The Practice Variability Tax and this methodology are proprietary.