Claim Denial Rate Calculator

Denial Rate (%) = (Denied Claims ÷ Total Claims Submitted) × 100

The HFMA Claim Integrity Task Force publishes two standardized versions of the metric, so benchmark against the same version you calculate:

• By claim volume: total initial denial claims divided by total claims submitted
• By claim dollars: total initial denial claims gross charges divided by total claims submitted gross charges

Which version you use matters more than it sounds, because the most-quoted target is not on the same denominator as the calculator above. The AAFP — the source of the 5% to 10% range — defines the denial rate as the total dollar amount of claims denied divided by the total dollar amount of claims submitted in the same period, so a single high-value denial moves it far more than it moves a claim count. This calculator works in claim counts and then applies your average claim value to estimate dollars at risk. Read your result against the volume-based definition, and treat the published range as an order of magnitude rather than a matching benchmark.

A good claim denial rate sits below 5%. That target and the 5–10% "industry average" underneath it both trace to one freely-public source: the AAFP's practice-finances guidance, which states them as practice-management advice with no population, sample or data year behind them. The one free measured physician-practice figure we could locate is MGMA's — the 2023 MGMA DataDive Practice Operations data set showed a single-specialty aggregate rate of 8% for claims denied on first submission, the same rate MGMA documented in 2019.

Denial rates vary by setting and payer mix, and the bottom two rows are not physician-practice numbers at all: Premier Inc.'s survey of 516 hospitals and health systems found nearly 15% of their 2022 claims to private payers were initially denied, and KFF found HealthCare.gov marketplace insurers denied 19% of in-network claims in 2024 — a payer-side count reported on final adjudication status, so a claim denied and later paid does not appear in it. For payer-by-payer and specialty-level detail, see our medical billing denial benchmarks and denial rates by specialty guides.

A denial rate assessment only pays off if it changes what you fix first. Three moves follow directly from the numbers:

1. Fix the front end first. The figures usually quoted here — registration and eligibility at nearly 27% of denials, and 86% of denials potentially avoidable — are Change Healthcare's 2020 Revenue Cycle Denials Index, an analysis of 102 million inpatient and outpatient claims from more than 1,500 hospitals between July 2019 and June 2020, relayed by MGMA. That is hospital data from before 2021, so use it as direction, not as your own mix. The direction is consistent with what medical groups themselves told MGMA in 2024: eligibility and ID errors, documentation, untimely filing, modifier 25, and registration and authorization breakage after an EHR change. Verifying eligibility before the visit is still the cheapest place to intervene.
2. Appeal systematically. Premier Inc.'s survey of 516 hospitals and health systems found 54.3% of their 2022 denials by private payers were ultimately overturned and paid — after an average of three rounds of review, each running 45 to 60 days. It is a hospital figure, so read it as evidence that appealing works rather than as a rate to expect. Reworking a denial costs an average of $25.20 per claim on MGMA's published figure; abandoning it forfeits the full claim value.
3. Assign ownership. Appeals stall when nobody owns denial follow-up. Our denial management services run root-cause analysis, appeals, and prevention as a dedicated function; our guide on how to reduce claim denials covers the in-house route.

Note: this calculator produces estimates, not a measurement. The appeal-rate and appeal-success sliders are assumptions you set, not published defaults, and the rework line applies MGMA's published $25.20 per claim — a figure MGMA states with no population, sample or data year attached, which is the reason to read that line as an order of magnitude. Actual financial impact depends on payer contracts, specialty, and claim complexity. Request a free audit for a detailed analysis.