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Field Results›CS-017
Financial IntelligenceRevenue Systems

Denial Root-Cause Attribution

Owner Taxonomy for Denied Claims

47.7%

Of 1,740 denied claims traced to intake, not billing

Client

Post-Acute Diagnostic Services Provider

Date

June 2026

Service Line

Financial Intelligence / Revenue Systems

Context

A diagnostic services provider was working two billing books at once: a legacy book being worked to zero and a new billing platform that had just gone live. Denied claims piled up in both. Everyone assumed denials were a billing problem, owned by the billing team and fixed with better coding and more appeals. Nobody had tested that, because a denial reason code records what the payer did, not who caused it.

Impact

Denied claims attributed to an owning function

BeforeNone (all treated as billing)
After1,740

Denials caused at intake (registration and eligibility)

BeforeUnknown
After830 claims (47.7%)

Billed charges on intake-caused denials

BeforeUnknown
After$337,535

Intake denials relative to coding denials

BeforeAssumed coding was the problem
After3.7x coding

Owner categories in the denial taxonomy

BeforeNone
After5 (intake, coding, credentialing, process, payer)

Patient identifiers in the analysis output

BeforeNot applicable
After0 (counts, codes and dollars only)

The Pattern

Attribute the Error to Its Owner

The department that receives the pain is rarely the department that caused it. Denials land in billing, so every proposed fix is a billing fix: more appeals, more coders, another tracking sheet. Mapping each error code to the one function that could have prevented it, and splitting ambiguous codes by the field that tells them apart, names the real owner. Any rework queue has the same structure – rejected invoices, failed installs, returned shipments – and the fix is usually one verification step at the front door, not more people absorbing rework at the back.

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