I would separate selection from the expected charge
The first question is which accounts or encounters should be evaluated. The second is what charge outcome should be present for those qualifying records. Those decisions are related, but a defect in either one can produce false positives. A valid selection rule paired with an incomplete expected-charge list can create the same repeated work as overly broad selection criteria.
I would ask the clinical department and revenue integrity owners to explain the intended service relationship. A completed clinical event may support a charge expectation, while a scheduled or canceled event may not. The team needs to identify legitimate exclusions and alternative charge patterns before evaluating the control's performance.
The expected outcome should not become an instruction to add a charge automatically. A reviewer still needs to confirm that the service occurred and that the documentation supports the correction. The exception means the configured expectation is unmet, not that an additional charge is always appropriate.
The data request needs reviewed outcomes
I would request the check configuration, account or encounter selection rules, expected charges or associated groupers, relevant extensions, and the workqueues or reports through which staff review the findings. For rule-based criteria, I would need the CER context, properties, parameters, and used-by relationships so the logic can be interpreted in its actual workflow.
The operational data should include new check occurrences, age, overrides, added or corrected charges, and final disposition for a representative sample. I would distinguish accounts from individual check occurrences so several checks on one account do not inflate the size of the opportunity.
The sample should include resolved true omissions, overridden checks, long-standing items, and records that appear similar but did not qualify. Reviewers should explain why each outcome was appropriate. That comparison helps identify a missing exclusion, an accepted alternative charge, or a problem in the underlying charge-generation workflow.
The billing effect must be understood separately
In an HB workflow, I would confirm whether the check is informational or associated with a billing hold. In a PB workflow, I would review how it interacts with encounter evaluation and charge review. The organization should know which records are delayed, what action clears the condition, and when the system reevaluates it.
I would examine whether a correction resolves the underlying expected-charge condition or merely overrides a downstream hold. Those are different outcomes. Repeated overrides can make a queue smaller while leaving both the original charging defect and the noisy control unchanged.
Evaluation timing also matters. The source event and its expected charge may not arrive together. Before changing the clinical expectation, I would verify whether normal processing can explain a temporary mismatch and whether the control is evaluated at the right point for the local workflow. This should be tested, not assumed from an aging report.
A better control needs both positive and negative cases
I would scope the recommendation to the demonstrated cause. If the check identifies genuine omissions, the prevention action may belong in the clinical charging process. If it flags valid alternative charges, the expected-charge configuration may need revision. If it catches canceled or irrelevant activity, the selection criteria may need a more precise boundary.
Acceptance testing should include a qualifying record with a genuinely missing charge, a record with the correct charge, a valid alternative, a canceled service, and an account with another unrelated billing barrier. I would confirm that the true omission still appears and that the corrected false-positive cases no longer generate avoidable review.
I would also verify reevaluation and exit behavior. After an appropriate correction or approved override, staff should see the expected outcome at the next relevant processing event. A check that identifies the correct population but never clears reliably still creates an operational problem.
The measure is useful detection with acceptable burden
I would calculate the confirmed-defect rate among reviewed exceptions and show the review sample and resolution categories alongside it. An override rate alone is ambiguous because an override can be appropriate or can bypass a valid control. The review evidence should explain which situation occurred.
I would track new true omissions, false-positive recurrence, time spent per reviewed exception, and billing delay attributable to the targeted check. Financial reporting should distinguish added gross charges, incremental collectible reimbursement, and actual collections. Those numbers should not be combined into a single savings total.
The ongoing owner should receive a short control scorecard and a reason to revisit the configuration when clinical charging changes. The successful outcome is a check that continues to catch the intended issue, supports a clear resolution, and creates less avoidable work because its assumptions remain accurate.