Practice Revenue Leakage: A 20%-to-10% Margin Scenario

Practice owners judge the business by the schedule. A full schedule feels like a healthy month. But a full schedule is not a collected schedule, and the gap between the two is where a full-slot forecast can differ from realized profit. The worked 20%-to-10% example below is illustrative, not a typical observed outcome. The money leaks out through three costs that never show up as a line item labeled "loss."

The 20% that becomes 10%

Leak 1: no-shows and late cancellations

The clinician's salary and the room's overhead are fixed. An empty slot earns nothing while its scheduled fixed costs remain, and no report captures it as a loss, it just shows up as a lighter day. MGMA Stat put the single-specialty average no-show rate at 6.81%, and a rate above 10% is a planning alert on this page, not a verified population quartile. Do the arithmetic on your own schedule rather than borrowing an average: A fictional 8% of a 30-visit day is 2.4 unfilled slots, not 2.4 clinician hours. At $150 contribution per visit across 250 clinic days, that is $90,000 (2.4 x $150 x250), assuming no same-day refill. Use slot duration separately when computing lost clinician time.

Leak 2: claim denials, rework, and partial write-offs

Charges post at full value, but a meaningful share get denied on first pass and require staff rework, and some never collect. KFF's analysis of 2024 ACA marketplace claims reports a 19% insurer-reported in-network denial average, with rates varying by insurer. It is not a ceiling and not a practice first-pass denial rate. MGMA's 2020 denial discussion cites 86% potentially avoidable denials and a $25.20 average rework cost. Avoidability, appeal success and final collectible dollars are different measures. Track final write-offs and your actual rework cost rather than treating every denial as lost revenue.

Leak 3: undercoding

The quietest leak. When a visit that supports a 99214 gets billed as a 99213 out of caution, the difference is earned revenue given away. Across a panel it adds up fast: the AAFP has historically illustrated that this pattern can cost a physician $30,000 or more a year (AAFP, 2009 historical illustration). That dated dollar estimate is not a 2026 payment-rate forecast. Code only what the documented services and current payer rules support; AAFP's 2021 E/M guide explains the coding criteria. It never appears as a loss because the claim was paid, just for less than the work was worth.

Fictional waterfall on one base: assume $1,000,000 of full-slot revenue at the current code mix and $800,000 of fixed scheduled operating cost, a $200,000 forecast profit (20%). Unfilled slots reduce revenue by $80,000; final denied-claim write-offs reduce it by another $20,000; rework adds $10,000 of cost. Realized revenue is $900,000, cost $810,000 and profit $90,000, or 10% of realized revenue. This simplified example assumes no avoided variable cost and does not add initial denials to final write-offs. A separately verified $30,000 coding correction would be upside, not another reduction: before any added cost, revenue would be $930,000 and profit $120,000. These assumptions do not establish a typical practice result.

How to find your leakage

1. No-show cost: multiply no-show rate by annual scheduled slots and contribution per visit, net of refilled slots. Compute clinician hours separately from slot duration. That sizes the potential contribution opportunity; actual recovery depends on refill capacity, patient behavior and workflow cost.
2. Denial cost: compute denied claim count as annual claims x first-pass denial rate. Rework cost is denied claims x rework cost per claim. Final write-off is denied charge dollars x never-collected share. Use the denied claims' own charges, not the all-claim average, and do not count an initial denial as a final loss. Front-end eligibility and prior-auth fixes target the denials your own root-cause review identifies as preventable. MGMA's 2020 article described 86% as potentially avoidable, not a guaranteed recoverable share.
3. Coding accuracy: audit a sample of visits against documentation. If your 99214-to-99213 ratio is well below your peers, investigate possible undercoding against the clinical documentation; where the audit confirms it, correct prospective coding and have the authorized billing professional assess any permitted claim correction.

Why this is directional

The 20-to-10 figure illustrates the mechanism; it is not a measured survey of your practice. The waterfall inputs are fictional assumptions. The cited MGMA, KFF and AAFP figures are separate context with different populations and years. KFF's 19% is an insurer-reported in-network aggregate for 2024 ACA marketplace claims, not a ceiling or a practice first-pass rate. The mechanism holds: a full schedule can produce materially less profit than the full-slot forecast through unfilled slots, denial write-offs and rework. Undercoding is separate potential upside on work already performed.

Related reading:

• The Level Index: healthcare benchmarks
• Medical practice profit margins by specialty
• The weekly numbers every practice owner should check

Source dates and scope: MGMA's January 2025 discussion reports the 2023 no-show aggregate. KFF's 2024 insurer measure, MGMA's historical rework figures and AAFP's historical coding estimate have different denominators and years. They cannot be added to infer a national practice profit-margin distribution. Reviewed October 7, 2026.