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Quick Answer

What Is Denial Rate?

Denial Rate is the percentage of claims (or claim dollars) denied by payers on initial adjudication, calculated as Denied Claims ÷ Total Claims Adjudicated × 100, typically tracked monthly and segmented by payer and denial reason category. Claims rejected before adjudication sit in neither the numerator nor the denominator — a rejection is not a denial.

  • Rank the categories by recoverable dollars rather than by count; the largest category by volume is rarely the largest loss.
KPI

Denial Rate

Also known as: Initial Denial Rate; Claim Denial Rate

Denial Rate is the percentage of claims (or claim dollars) denied by payers on initial adjudication, calculated as Denied Claims ÷ Total Claims Adjudicated × 100, typically tracked monthly and segmented by payer and denial reason category. Claims rejected before adjudication sit in neither the numerator nor the denominator — a rejection is not a denial.

Definition

NUMERATOR: claims the payer denied at initial adjudication — a payment determination returned with a CARC, carrying appeal rights. DENOMINATOR: claims that reached adjudication in the period. EVENT: the payer's initial payment determination. PERIOD: monthly, dated by the remittance (835). Claims rejected before adjudication — returned by the clearinghouse or by the payer's front-end edits — belong in neither, because a claim returned as unprocessable is not a payment determination and carries no appeal rights (CMS, Medicare Billing: CMS-1500 & 837P course glossary). Counting rejections as denials inflates the denial rate and hides a front-end data problem behind a payer-behavior story. Denial Rate can be measured by claim count or by claim dollars; both have value, but never mix them in one figure, because the denominators are different. The metric should also distinguish initial denials (first adjudication) from final denials (after appeal rights are exhausted). Common denial categories: eligibility (CARC 27, 31), prior auth (CARC 197), medical necessity (CARC 50), bundling (CARC 97), missing information (CARC 16, with a RARC naming the specific defect), and timely filing (CARC 29). The published target most often quoted for physician practices is the AAFP's: a 5% to 10% denial rate is the industry average, and keeping the denial rate below 5% is more desirable. Read it with its limits attached — AAFP publishes it as practice-management guidance with no population, sample or data year, and AAFP's own formula is dollar-based (denied dollars ÷ submitted dollars), so it is not comparable to a count-based rate.

Example

A practice has 8,000 claims reach adjudication in a month; 720 come back denied. Denial Rate = 720 ÷ 8,000 = 9.0%. Note the denominator: claims that were adjudicated. If 200 further claims were rejected at the clearinghouse that month, they sit in neither number — they are a separate 200-claim rejection problem. Folding them in would report 920 ÷ 8,200 = 11.2% and point the fix at the wrong team. Drilling into the 720: 200 eligibility (front-end VOB failure), 180 prior auth (PA workflow failure), 120 medical necessity (LCD/coverage), 80 bundling (NCCI), 140 missing information (charge entry), 0 timely filing.

Common Misconceptions

A low denial rate is not always good — it can indicate aggressive contractual adjustment posting that hides denials by treating them as adjustments. Always reconcile denial rate against Net Collection Rate; both rates should improve together. The second misconception is that the complement of a first-pass metric is the denial rate. It is not: 100% minus a first-pass resolution rate bundles rejections, which were returned before adjudication, with denials, which were adjudicated — and only the denials belong in this metric.

Practical Application

Categorize every denial within 24-48 hours and route it to the right work queue (eligibility issues to the VOB team, PA denials to the clinical/admin team, medical necessity to coder review) — and route rejections to a separate queue, because they are corrected and resubmitted as new claims rather than appealed. Rank the categories by recoverable dollars rather than by count; the largest category by volume is rarely the largest loss.

Where This Applies on MedPrecision

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