Clean Claim Rate Benchmarks for Orthopaedic Practices: How to Hit 95%+ in 2026

A strong clean claim rate for an orthopaedic practice in 2026 is 95% or higher on first submission. Clean claim rate measures the percentage of claims that pass through to the payer and adjudicate without edits, rejections, or manual rework; and it is one of the most reliable leading indicators of revenue cycle health. Practices sitting below the low-90s are almost always losing money twice: once to the delayed cash from reworked claims, and again to the staff hours spent fixing them. This article defines the benchmark, shows how to calculate it correctly, and lays out the specific levers orthopaedic groups pull to reach and hold a 95%+ first-pass rate.

What clean claim rate actually measures

Clean claim rate is the share of claims that are accepted and processed without requiring any manual intervention, correction, or resubmission. It is distinct from the denial rate, which measures claims the payer refuses to pay; a claim can be “clean” on submission and still be denied later, and a claim can be rejected at the clearinghouse before it ever reaches the payer. The clean claim rate captures front-end quality: coding accuracy, eligibility verification, and complete documentation before the claim goes out the door.

The reason it matters so much for orthopaedics is volume and complexity. High surgical volume means a one- or two-point drop in clean claim rate translates into hundreds of reworked claims a month, each one adding days to AR and cost to the billing team.

The 2026 benchmark: what “good” looks like

Industry guidance has long placed a healthy clean claim rate at or above 95%, with high-performing groups pushing toward 98%. MGMA benchmarking consistently associates top-performing practices with higher first-pass yields and lower rework, and the financial logic is straightforward: every point of clean claim rate you recover removes rework cost and shortens the revenue cycle.

Use these tiers as a directional gauge. A first-pass clean claim rate below 90% signals systemic front-end problems and is a priority fix. The 90 to 94% range is common but leaves measurable money and staff time on the table. At 95% and above, the practice is performing well; at 98% and above, it is best-in-class. These are directional benchmarks rather than official standards, and payer mix and subspecialty complexity will shift the realistic target for any given group.

How to calculate your clean claim rate correctly

The core formula is simple: divide the number of claims accepted on first submission without edits or rejections by the total number of claims submitted in the same period, then multiply by 100. The nuance is in the definitions. Decide up front whether a clearinghouse rejection counts against the rate (it should, because it represents rework), and measure on first submission rather than eventual acceptance, or you will flatter the number and hide the problem. Track it monthly, segmented by payer and by subspecialty, so you can see whether a dip is driven by one payer’s edits or one service line’s coding.

The levers that move clean claim rate in orthopaedics

Reaching 95%+ is rarely about one fix; it is about tightening several front-end steps at once.

Coding accuracy at the source. Because orthopaedic coding is modifier- and add-on-heavy, with global surgical package rules and modifiers such as 25, 57, 58, 59/XS, 78, and 79 in constant play. Errors here are the single largest driver of rejections and edits. Getting CPT, ICD-10-CM, and modifiers right before submission, ideally with an AI agent drafting and checking codes inside the EHR, removes the most common failure mode.

Eligibility and benefits verification. A large share of preventable rejections trace back to eligibility issues caught only after submission. Verifying coverage and benefits before the visit closes the gap.

Prior authorization capture. Missing or mismatched authorization numbers cause clean-looking claims to reject. Reconciling auth before the claim goes out protects the rate.

Documentation completeness. Claims that lack the clinical detail to support the codes get edited or denied. Complete, code-supporting notes are a front-end quality control.

Clearinghouse edits and scrubbing. A well-tuned scrubber catches NCCI conflicts, both Procedure-to-Procedure (PTP) edits and Medically Unlikely Edits (MUEs), along with payer-specific edits before submission rather than after rejection.

How AI coding raises the clean claim rate

The fastest path to a higher clean claim rate in a code-dense specialty is reducing coding errors before submission. An autonomous coding agent that reads the note, applies current AMA CPT guidelines and CMS NCCI edits, and drafts the claim with correct modifiers can turn the highest-failure step into a first-pass success, with coder review retained for oversight and auditability. Because the agent works inside the EHR, it catches issues where the claim is built rather than after a rejection routes it back to a coder. Orthopaedic groups evaluate exactly this: whether automation lifts first-pass yield without adding headcount.

Frequently asked questions

What is a good clean claim rate for an orthopaedic practice?

A healthy first-pass clean claim rate is 95% or higher, with best-in-class groups reaching 98%. Rates below 90% usually indicate systemic front-end problems in coding, eligibility, or documentation that warrant immediate attention.

How is clean claim rate different from denial rate?

Clean claim rate measures claims that process without any manual correction or resubmission, reflecting front-end quality. Denial rate measures claims the payer declines to pay. A claim can be clean on submission and still be denied, so the two metrics track different stages.

How do I calculate clean claim rate?

Divide the number of claims that adjudicated with no edits or rejections by the total claims submitted in the same period, then multiply by 100. Measure on first submission and count clearinghouse rejections against the rate to avoid overstating performance.

Why do orthopaedic practices struggle to hit a high clean claim rate?

Orthopaedic coding is unusually modifier- and add-on-heavy, so coding errors are the leading cause of edits and rejections. Combined with prior-auth and eligibility gaps, these front-end issues drag first-pass yield below target unless each step is tightened.

Can AI coding improve clean claim rate?

Yes. Because coding errors are the largest driver of rejections in orthopaedics, an AI agent that drafts and checks codes inside the EHR before submission can convert the highest-failure step into first-pass success, helping to lift the clean claim rate.

See how Maia’s AutoCoder handles this automatically for orthopaedic practices. Book a demo at usemaia.com.