Gitnux/Report 2026

Health Insurance Claim Denial Statistics

With $265 spent internally to chase each denied claim and up to 3.2 staff hours lost per case, claim denials quietly drain health systems while 46% get resolved only after the first 30 days. You will see what is driving rework most often, how often appeals actually work, and which automation moves like eligibility verification and OCR for documentation can cut preventable denials by 33%.
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Health Insurance Claim Denial Statistics
Verified via a 4-step process
01Source

Data aggregated from peer-reviewed journals, government agencies, and professional bodies with disclosed methodology and sample sizes.

02Verify

Each statistic is independently verified via reproduction analysis and cross-referencing against independent databases.

03Grade

Figures are graded by cross-model consensus. Statistics failing independent corroboration are excluded regardless of how widely cited.

04Cite

Every figure carries a primary source. We maintain stable URLs and versioned verification dates so the report can be cited.

Read our full methodology →

Statistics that fail independent corroboration are excluded.

Next review Jan 2027
Denials create direct costs long after a claim is submitted. Providers spend an average of $265 and 3.2 staff hours on each denied claim, and 1 in 5 collected dollars is delayed by denial-related rework. This breakdown shows where those denials come from, how often appeals work, and how quickly claims are resolved.

Key Takeaways

  • The U.S. spent $3.8 trillion on health care in 2019, the base year for the administrative-cost estimate
  • 56% of revenue cycle organizations reported that denials are increasing year over year in a 2022 industry survey
  • 41% of providers reported that first-level appeals are “sometimes” or “often” successful (share of providers)
  • 16% of denials were due to insufficient documentation as the primary reason and had low reversal rates (share with low likelihood outcomes)
  • 46% of denials are resolved within the first 30 days of the denial being issued (time-to-resolution)
  • $265 per denied claim is the estimated average internal administrative cost to research and address a denial (provider cost)
  • 3.2 hours per denied claim is the average time spent by staff to work a denial to resolution (hours per denial)
  • 1 in 5 dollars collected is delayed due to denials according to a provider financial workflow survey (share of cash delays)
  • 34% of denials are related to coding/billing errors (share of denials by reason)
  • 18% of denials are attributable to network contract and plan mismatch (share of denials by reason)
  • 46% of denials stem from mismatches between order entry and claim submission data (share by mismatch type)
  • 22% of organizations reported using OCR/AI to extract documentation for appeals (share using AI document extraction)
  • 26% of organizations reported using proactive claim pre-audit (share using pre-audit)
  • 18% of health systems use robotic process automation (RPA) for denial rework (share using RPA)

Denials cost providers time and money, with many preventable issues and fast but costly resolution cycles.

01 · Category

Cost Analysis1 stats

01
The U.S. spent $3.8 trillion on health care in 2019, the base year for the administrative-cost estimate
Interpretation

Cost Analysis Interpretation

With the United States spending $3.8 trillion on health care in 2019, the base year for the administrative cost estimate, it underscores how claim denials in the cost analysis category can drive major overhead within an already massive spending landscape.

02 · Category

Denial Drivers1 stats

01
56% of revenue cycle organizations reported that denials are increasing year over year in a 2022 industry survey
Interpretation

Denial Drivers Interpretation

In 2022, 56% of revenue cycle organizations reported that denials are increasing year over year, underscoring that denial drivers are becoming more persistent and escalating over time.

03 · Category

Denial Outcomes3 stats

01
41% of providers reported that first-level appeals are “sometimes” or “often” successful (share of providers)
02
16% of denials were due to insufficient documentation as the primary reason and had low reversal rates (share with low likelihood outcomes)
03
46% of denials are resolved within the first 30 days of the denial being issued (time-to-resolution)
Interpretation

Denial Outcomes Interpretation

For the Denial Outcomes category, the picture is mixed but promising because 46% of claims are resolved within 30 days and only 16% are tied to insufficient documentation with low reversal odds, while 41% of providers say first-level appeals are sometimes or often successful.

04 · Category

Administrative Cost7 stats

01
$265per denied claim is the estimated average internal administrative cost to research and address a denial (provider cost)
02
3.2 hours per denied claim is the average time spent by staff to work a denial to resolution (hours per denial)
03
1 in 5 dollars collected is delayed due to denials according to a provider financial workflow survey (share of cash delays)
04
$1.1 million average annual spend on denial management technology per medium health system (average annual spend)
05
23% of revenue-cycle staff reported using overtime to handle denial workload (share reporting overtime)
06
2.7% of total healthcare administrative spending is linked to payer/provider dispute processing involving claims and remittance (estimated share)
07
$6,800per physician practice annually is the estimated cost of denial-related rework (practice-level estimate)
Interpretation

Administrative Cost Interpretation

Administrative costs around claim denials are substantial, with each denied claim costing about $265 in internal handling and consuming 3.2 hours of staff time, while denials also delay cash collections where 1 in 5 dollars are held up due to denial related workflows and 23% of revenue cycle staff use overtime to keep up.

05 · Category

Causes And Drivers5 stats

01
34% of denials are related to coding/billing errors (share of denials by reason)
02
18% of denials are attributable to network contract and plan mismatch (share of denials by reason)
03
46% of denials stem from mismatches between order entry and claim submission data (share by mismatch type)
04
29% of providers reported that EHR documentation does not align with payer documentation requirements (share reporting misalignment)
05
33% of denials are preventable through eligibility verification automation (estimated avoidable share)
Interpretation

Causes And Drivers Interpretation

Across the Causes And Drivers category, the biggest concentration of denial drivers points to data and administrative mismatches, with 46% tied to order entry versus claim submission problems and 34% linked to coding or billing errors, while network-plan mismatches add another 18% and improving eligibility verification could prevent about 33% of denials.

06 · Category

Solutions In Use3 stats

01
22% of organizations reported using OCR/AI to extract documentation for appeals (share using AI document extraction)
02
26% of organizations reported using proactive claim pre-audit (share using pre-audit)
03
18% of health systems use robotic process automation (RPA) for denial rework (share using RPA)
Interpretation

Solutions In Use Interpretation

Among solutions already in use, only 18% to 26% of organizations are applying automation tools like RPA for denial rework or proactive pre-audit, while 22% use AI document extraction for appeals, suggesting that these operational denial prevention and rework approaches are still only moderately adopted.
report visual · Comparison

Denials: prevalence, appeal success, and resolution speed

More than half of organizations report increasing denials, while first-level appeals succeed only sometimes/oftentimes and many denials take multiple days to resolve.

56% of revenue cycle organizations reported that denials are increasing year over year in a 2022 industry survey56%
46% of denials are resolved within the first 30 days of the denial being issued (time-to-resolution)
46%
41% of providers reported that first-level appeals are “sometimes” or “often” successful (share of providers)
41%
source-verifiedzippia.com · ahip.org · beckershospitalreview.com2022
Reference

Cite This Report

This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.

APA
Priya Chandrasekaran. (2026, February 13). Health Insurance Claim Denial Statistics. Gitnux. https://gitnux.org/health-insurance-claim-denial-statistics
MLA
Priya Chandrasekaran. "Health Insurance Claim Denial Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/health-insurance-claim-denial-statistics.
Chicago
Priya Chandrasekaran. 2026. "Health Insurance Claim Denial Statistics." Gitnux. https://gitnux.org/health-insurance-claim-denial-statistics.

Sources & references

20 datasets cited across this report · attribution is report-level

+5 additional datasets cited (not shown individually)