How to Measure Dental Denials by CDT Code (Without Misleading Benchmarks)

Editorial correction (October 12, 2026): An earlier version stated or implied that Avized had a proprietary dataset or empirical results without supplying the underlying records. Those assertions have been withdrawn. This replacement distinguishes published research, vendor announcements, and illustrative planning models.

Why code-level denial analysis is worth doing

A dental practice can have an acceptable portfolio-wide denial rate while experiencing substantial rework for particular procedures, locations, or payers. But a statement about the rate for any CDT code is meaningful only with a specified denominator, claim population, time period, payer mix, and counting method.

The original version of this article said it analyzed more than 10,000 dental claims and quoted code-specific denial percentages. We cannot substantiate that dataset here, so we have removed the claim and its figures.

Build an auditable denominator

Start with adjudicated claim service lines over a fixed service or adjudication period. Store claim identifier, service-line identifier, CDT code, payer, state, practice, billed amount, allowed amount, paid amount, claim status, adjudication date, and standardized denial/reason code.

For each CDT code, calculate:

• Initial denial rate: unique first-pass denied service lines divided by all first-pass adjudicated service lines for that CDT.
• Final nonpayment rate: service lines ultimately denied without payment divided by all adjudicated service lines after a consistent follow-up window.
• Dollar-weighted exposure: denied allowed or expected reimbursement, separately from billed charges.
• Appeal success: overturned denied service lines divided by appealed denied service lines, excluding appeals still pending.

Do not mix rejections (which may fail before payer adjudication) with denials without labeling that distinction.

Segment before drawing conclusions

Group by payer, plan, geography, office, and procedure category. Use minimum sample-size rules and show numerator and denominator together. A rate of 50% across two lines is not more informative than a rate of 10% across two thousand.

Where a claim has multiple denials or adjustments, count it consistently and avoid inflating the denominator through resubmissions. Examine reasons and documentation gaps rather than assuming that a code inherently generates denials.

Suggested output

These are reporting definitions, not national dental benchmarks. For coding and procedure descriptors, consult the ADA's dental coding resources. For electronic remittance and adjustments, use the transaction documentation supplied by your clearinghouse and payer.

Editorial standard

Avized will publish comparative CDT denial rates only with a traceable underlying dataset, sample definition, payer mix, time frame, and clear limitations. A chart or a confidently stated percentage without those elements is not suitable market intelligence.