I would define the registration defect before counting it
The first sample should distinguish missing coverage from incorrect coverage use. One record may have the wrong member information, another may have valid coverage that was not attached to the relevant account, and another may have an inappropriate payer sequence. A single registration-error category can hide these differences and send the same training message to teams with different problems.
I would start with a payer or service population where the pattern is visible and review both denied claims and corrected accounts. The payer explanation, registration history, and original claim should agree on the suspected failure. A denial categorized as coordination of benefits is a lead for investigation, not proof that a registrar selected the wrong payer.
The investigation has to reach the billed account
In Epic, I would compare the coverage and member effective dates with the dates of service, review the coverage attached to the relevant encounter or hospital account, and examine the resulting filing order. I would also check whether staff created a duplicate coverage when an existing record needed an updated member line or effective period. Duplicates can obscure the history and create inconsistent selections.
The responsible registration and billing teams should help validate the sequence of events. A coverage may be corrected at the patient level after the claim was sent without changing the original billing facts. I would establish what was known when the claim was produced and what later action updated the account, rather than assume the current screen reflects the original error.
What I would request from operations and the application team
I would ask for coverage identifiers, payer and plan, relevant member information, effective periods, attached accounts, filing order history where available, registration change history, claim submission dates, and denial or rejection outcomes. The request should use the minimum patient information necessary within the organization’s approved process. Summary reports would use an agreed account identifier rather than expose unnecessary personal detail.
I would also request the configuration relevant to coverage attachment, duplicate prevention, and filing order adjustment. Where a rule contributes to the behavior, the CER extract needs its context, criteria, parameters, and references to the configuration that calls it. Any precedence or automatic recalculation behavior should be confirmed in the client’s build and tested with examples.
The handoff should state what must be corrected
A patient-level correction, an account-level update, and a claim correction may require different actions. I would create a concise resolution path that tells staff which level needs review and when billing needs to reevaluate or resubmit. The next team should receive the reason and relevant evidence, not an unexplained account transfer.
For coordination-of-benefits disputes, trained staff should follow the organization’s approved process for obtaining and validating the needed information. I would not hard-code a universal payer sequence into the workflow based on one example. The local policy, patient circumstances, and applicable payer requirements need to determine the correct treatment.
The test should include more than one active coverage
I would include a patient with a single effective coverage, two coverages with a confirmed sequence, a coverage effective only for part of the service period, and an existing inactive coverage that needs an update rather than duplication. I would also test a correction made after an account is created and after an initial claim has already been submitted.
The expected outcome should specify what changes, what stays unchanged, and which team sees the remaining exception. Passing a registration screen is insufficient if the wrong coverage continues to drive billing. I would follow representative test accounts through claim preparation and confirm the resulting payer information with billing operations.
The measure should separate prevention from correction
I would measure new confirmed coverage-related defects in a defined eligible account population and report payer, department, and registration workflow alongside the rate. For a denial outcome, I would allow adequate adjudication time and keep the same case definition before and after the change. A recategorized denial should not disappear from the comparison.
| Measure | How I would use it |
|---|---|
| Account accuracy | Eligible accounts with validated coverage attachment, effective dates, and filing order at the agreed review point. |
| Avoidable rework | Coverage corrections, repeat contacts, and rebilling attributable to a confirmed registration failure. |
| Downstream denials | New denials for the targeted coverage issue per corresponding eligible claims, using mature periods. |
| Financial outcome | Collections, final losses, and payment delay associated with the reviewed accounts, reported separately. |
The aim is reliable information reaching the claim at the correct time. Faster correction may accelerate payment, while prevention can also reduce repeated work and final losses. Those benefits should be evidenced individually rather than presented as interchangeable dollars.