Denial Rate Calculator
Claims denial rate and revenue impact analysis.
About this calculator
Denied claims per month is simply total claims submitted times the denial rate, so total claims volume and the denial rate percentage carry equal weight in setting the count of denied claims — a practice can land on the same denied-claims number by submitting fewer claims at a higher denial rate or more claims at a lower one. From there the calculator splits denied claims into two buckets: roughly 65% are treated as worth appealing (the appealable rate is a fixed assumption in the model, not an input you control), and of those, the appeal success rate you enter determines how many are ultimately recovered. Appeal economics run in parallel to the revenue-at-risk figures — average claim value, cost per appeal, and billing staff hourly rate all shape the cost side of working denials, but none of them changes how many claims are denied in the first place, since denial count is purely a function of claims volume and the denial rate.
The days-in-AR-impact estimate applies a flat rule of thumb (roughly two additional accounts-receivable days per one percentage point of denial rate) rather than a measured relationship, so it should be read as a rough directional signal rather than a precise AR cycle forecast. Where this model falls short: it does not distinguish between denial reason codes (eligibility, authorization, coding, timely filing), which have very different appeal success rates and preventability in real revenue cycle operations, and it assumes a constant appeal success rate across all denial types rather than the reason-specific rates a real billing team would see.
Medical Disclaimer
This calculator is for informational and educational purposes only. It is not a substitute for professional medical advice, diagnosis, or treatment. Always consult a qualified healthcare provider before making decisions about your health. Never disregard professional medical advice or delay seeking it because of results from this tool.
Inputs
Results
Denied claims per month
120
Annual revenue at risk
$266,400.00
How to Use This Calculator
- Enter Total claims per month and your Current denial rate (%) — the national average is 5–10%.
- Input Avg claim value and Appeal success rate (%) to model the revenue recoverable through the appeals process.
- Set Cost per appeal and Billing staff hourly rate to capture the true cost of working denials.
- Enter your Target denial rate (%) to project the Savings from hitting target after implementing improvement initiatives.
- Review Monthly revenue at risk and Annual revenue at risk to quantify the business impact of current denial levels.
- Use Days in AR impact and Clean claim rate to benchmark performance and set billing team improvement goals.
How the result changes with Total claims per month
| Total claims per month | Denied claims per month | Annual revenue at risk |
|---|---|---|
| 750 | 60 | $133,200.00 |
| 1,125 | 90 | $199,800.00 |
| 2,250 | 180 | $399,600.00 |
| 3,750 | 300 | $666,000.00 |
What each input means
- Total claims per month
- Total number of claims submitted per month across all payers.
- Current denial rate (%)
- Percentage of claims initially denied. Industry average is 5-10%.
- Avg claim value ($)
- Average dollar amount per submitted claim.
- Appeal success rate (%)
- Percentage of appealed claims that are overturned. National avg ≈ 40-50%.
- Cost per appeal ($)
- Direct cost per appeal (postage, forms, IT). Does not include labor.
- Target denial rate (%)
- Desired denial rate after improvement initiatives.
- Billing staff hourly rate ($)
- Fully loaded hourly rate for billing/appeals staff.
What each result means
- Denied claims per month
- Number of claims denied each month.
- Clean claim rate
- Percentage of claims accepted on first submission. Target ≥ 95%.
- Monthly revenue at risk
- Total dollar value of denied claims per month.
- Annual revenue at risk
- Annualized denied claim revenue.
- Monthly recovered via appeals
- Revenue recovered from successful appeals each month.
- Annual appeal costs
- Total labor + direct costs to process appeals annually.
- Net annual revenue lost
- Revenue lost after appeal recoveries.
- Savings from hitting target
- Annual revenue saved by reducing to target denial rate.
- Est. days in AR impact
- Estimated additional days denials add to accounts receivable cycle.
How this is calculated
Worked example, using the default values
- Identify Input Parameters4 parametersTotal claims per month = 1500, Current denial rate (%) = 8, Avg claim value ($) = 185, Appeal success rate (%) = 45 = 7 input(s) provided
- Calculate Denied claims per monthDenied claims per month120 = 120
- Calculate Annual revenue at riskAnnual revenue at risk = monthlyRevenueAtRisk * 12266400 = $266,400
- Calculate Clean claim rateClean claim rate = (cleanClaimsPerMonth / totalClaimsPerMonth) * 10092 = 92%
- Calculate Monthly revenue at riskMonthly revenue at risk = deniedClaimsPerMonth * avgClaimValue22200 = $22,200
Engine last updated . Checked against 2 independently-derived tests — how we verify calculators. Built by Paul Gunder, a software engineer, not a licensed financial, medical, or legal professional.
Frequently Asked Questions
Why does raising total claims per month and raising the denial rate have the same kind of effect?
Denied claims per month is a straight multiplication: total claims submitted times the denial rate percentage. A 10% increase in either input produces roughly the same 10% increase in the denied-claims count, because the two inputs enter the formula symmetrically rather than one dominating the other. This means a practice growing its claims volume without addressing its denial rate will see its absolute revenue-at-risk dollars grow proportionally, even if the rate itself stays flat.
Does improving the appeal success rate reduce how many claims get denied?
No — appeal success rate only affects how much of the revenue already at risk gets recovered after a denial happens, not the denial count itself. Denied claims per month is fixed by total claims and the denial rate alone. A practice that gets very good at appeals still has the same number of denials; it is simply losing less net revenue because more of those denials get overturned and paid.
What share of denied claims does the model assume are worth appealing?
The calculator assumes 65% of denied claims are appealable — a fixed internal assumption reflecting that some denials (duplicate claims, claims past the timely filing window, clearly non-covered services) are not worth pursuing. This 65% is not exposed as an input, so if your practice's denial mix skews toward more or less appealable reasons than that, treat the appeal cost and recovery figures as directional rather than exact.
How much does the target denial rate scenario differ from just lowering the current rate input?
Savings from hitting target is calculated independently from the main projection: it compares denied claims at your current rate against denied claims at your target rate, both computed from the same total claims volume, and multiplies the difference by average claim value and twelve months. It is a what-if comparison rather than a change to the primary revenue-at-risk and appeal figures, which continue to reflect your current denial rate throughout.
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