Denial Rate Benchmark
A denial rate on its own tells you very little. This tool turns yours into two things you can act on: where it sits against the published figures, and what the denied volume is worth per month after the share you already recover. Both are derived from your numbers. The published figures are named, dated and linked below rather than asserted, because most benchmarks in this category arrive with no source attached.
Updated August 5, 2026Free, no signupRuns in your browser
Your claims
Submitted, not accepted. Using accepted claims as the denominator understates the rate.
Initial denials, before any rework. Count each claim once.
Value and recovery
Expected reimbursement, not billed charges.
Of denied claims you rework, the share that is ultimately paid.
Your reading
Initial denial rate
11.1%
444 of 4,000 claims denied on first pass.
Within the commonly cited bandTypical is not the same as acceptable. The dollars below are what typical costs you, and the reasons behind them are usually a short list.
Your rate against the cited band
Monthly denied value, split
Recovery is rework you are already paying for. The written-off half is the number worth taking to a vendor conversation.
Modeling estimate, not a quote or a guarantee. Assumptions are editable and every figure above is derived from the values you entered. Industry surveys commonly cite initial denial rates near 10 to 12 percent.
How this is calculated
initial denial rate = claims denied on first pass / claims submitted x 100
monthly value at risk = claims denied x average claim value
recovered = value at risk x share you currently recover
written off = value at risk - recovered
value of closing to 12% = (denied claims - claims x 12%) x average claim value x (1 - share recovered)
verdict: below the band under 10%, within the band from 10 to 12%, above the band over 12%. Industry surveys commonly cite initial denial rates near 10 to 12 percent.
Methodology and assumptions
What the model does, and what it refuses to guess
Two calculations and one comparison, all of them visible.
What it calculates
Your initial denial rate is denied claims divided by claims submitted. The denominator matters more than anything else here: using accepted claims, or charges rather than claims, produces a lower number that is not comparable to any published figure.
Monthly value at risk is denied claims multiplied by average claim value, where average claim value means expected reimbursement rather than billed charges. The recovery input splits that into what you get back through rework and what is written off. The written off figure is the one worth taking into a vendor conversation, because it is the part nobody is currently capturing.
Where the 10 to 12 percent band comes from
The band on this page is anchored to the Change Healthcare 2020 Revenue Cycle Denials Index, which reported that claims denied on initial submission had reached 11.1 percent through the third quarter of 2020, up from about 9 percent in 2016, on an analysis of 102 million hospital transactions. The Healthcare Financial Management Association summarised the index in its news coverage of the national denials index. That figure is where most of the widely repeated benchmarks in this category originate, and it is now several years old, which is the first thing to know about it.
More recent published figures run higher, and they measure different things.
- Premier Inc., 2024. A survey of 516 hospitals across 36 states, fielded from 10 October to 31 December 2023 on 2022 claims, found that nearly 15 percent of claims submitted to private payers were initially denied. The same survey reported initial denial rates of 15.7 percent for Medicare Advantage and 8.4 percent for traditional Medicare, which is a reminder that payer mix moves this number more than performance does.
- KFF, published March 2026. Analysing what issuers themselves report, KFF found that HealthCare.gov insurers denied 19 percent of in network claims in 2024, similar to 2023, with rates across issuers ranging from 3 percent to 36 percent.
These do not contradict each other. They differ by who is counting, what population is counted and in which year: a clearinghouse view of hospital transactions, a hospital survey of private payer claims, and issuer regulatory reporting on individual marketplace plans are three different measurements. The range between 11 and 19 percent across them is the honest state of the published evidence, and the 3 to 36 percent spread inside the KFF data is a stronger argument than any of the headline numbers: a single national figure is orientation, not a target.
Treat the band on the scale as a reference line, and treat your own trend over time, measured the same way each period, as the more useful number.
A rate below the band is not automatically good news. The most common cause of a surprisingly low rate is a denominator that excludes claims which never made it to submission.
Where the defaults come from
The default denied claim count is set so the calculator opens at 11.1 percent, matching the anchor figure above rather than a number we liked the look of. The claim volume, average claim value and recovery share are placeholders chosen to make the tool usable on first load. Replace all three with your own figures before taking any output anywhere.
What it does not do
It does not break denials down by reason code, payer or department, which is where the actionable detail always is. A single organization wide rate is the summary figure, and the work of fixing it starts one level below. See the denial management use case for how that breakdown is normally built.
It also excludes the staff cost of rework itself, which is modelled separately in the prior authorization cost calculator, and it says nothing about whether a denial was justified. If you want an independent read on whether automation is the right response to your numbers, that is what the AI readiness audit is for.
Questions we get asked
What is the average initial claim denial rate?
There is no single figure, and the published ones measure different things. The Change Healthcare 2020 Revenue Cycle Denials Index put initial denials at 11.1 percent of claims through the third quarter of 2020. A Premier Inc. survey of 516 hospitals, fielded in late 2023, put initial denials from private payers at nearly 15 percent. KFF, analysing issuer reporting, found HealthCare.gov plans denied 19 percent of in network claims in 2024, ranging from 3 to 36 percent across insurers. Use the band as orientation, not as a target.
What denial rate should we be aiming for?
Lower than yours was last quarter, measured the same way. That is not evasion: a target borrowed from a survey that used a different denominator and a different payer mix is not a target, it is a number. Your own trend, and the concentration of denials in a few reason codes, are what tell you whether there is work worth doing.
Why is the benchmark shown as a band rather than a single figure?
Because the published figures genuinely disagree, and a single decimal figure would imply a precision the underlying surveys do not support. KFF's own data shows in network denial rates ranging from 3 percent to 36 percent across insurers on a single marketplace, which tells you more about the usefulness of a national average than the average itself does.
Should average claim value be billed charges or expected reimbursement?
Expected reimbursement. Billed charges will inflate the dollars at risk by a wide margin on most payer mixes, and a business case built on charges falls apart the moment finance looks at it.
Does a lower denial rate mean we do not need denial automation?
Not necessarily. A modest rate on high volume still writes off a large number, and the recovery share matters as much as the rate. The written off figure on this page is the one to look at, because it is the money that is currently going nowhere.
Where does the recovery estimate come from?
From you. It is the share of denied claims you rework and are ultimately paid for, entered as a percentage. If you do not know it, that gap is itself a finding, and it is worth measuring before buying anything intended to improve it. For context, the Premier survey reported that more than half of initially denied claims were eventually paid, after an average of three rounds of review.
Why does our rate differ so much from the published figures?
Usually payer mix and denominator, in that order. The Premier survey reported initial denial rates of 15.7 percent for Medicare Advantage against 8.4 percent for traditional Medicare, so two organizations doing identical work with different books of business will report very different rates. Check your denominator is claims submitted rather than claims accepted before concluding anything about performance.
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