What data quality checks are essential in Resolute to ensure clean billing and AR data?

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Multiple Choice

What data quality checks are essential in Resolute to ensure clean billing and AR data?

What matters here is validating all the data that feed claims and the AR ledger. In Resolute, clean billing and AR data come from comprehensive checks across several interrelated areas. First, patient data accuracy is essential. Correct demographics, insurance details, and guarantor information prevent misbilled claims, eligibility issues, and payment delays. Next, encounter data must be complete so every service provided is captured and linked to the right patient and date of service, ensuring claims reflect what happened. Coding consistency is also critical: CPT/HCPCS and diagnosis codes should align with the documented services and payer rules to minimize denials and post-submission edits. Price accuracy matters too, since charges need to match the chargemaster, negotiated rates, and payer-specific pricing; mismatches can lead to underbilling or overbilling. Finally, reconciling charges, payments, and adjustments ensures the AR ledger is correct, supporting accurate aging, cash flow visibility, and financial reporting. Relying on minimal checks, only payer feedback, or stopping checks after initial billing leaves gaps. Minimal checks may miss upstream data problems; payer feedback is reactive and can delay correction; and discontinuing checks after the first billing sentence leaves new or evolving errors unchecked, increasing denials and misstatements in the AR.

What matters here is validating all the data that feed claims and the AR ledger. In Resolute, clean billing and AR data come from comprehensive checks across several interrelated areas.

First, patient data accuracy is essential. Correct demographics, insurance details, and guarantor information prevent misbilled claims, eligibility issues, and payment delays. Next, encounter data must be complete so every service provided is captured and linked to the right patient and date of service, ensuring claims reflect what happened. Coding consistency is also critical: CPT/HCPCS and diagnosis codes should align with the documented services and payer rules to minimize denials and post-submission edits. Price accuracy matters too, since charges need to match the chargemaster, negotiated rates, and payer-specific pricing; mismatches can lead to underbilling or overbilling. Finally, reconciling charges, payments, and adjustments ensures the AR ledger is correct, supporting accurate aging, cash flow visibility, and financial reporting.

Relying on minimal checks, only payer feedback, or stopping checks after initial billing leaves gaps. Minimal checks may miss upstream data problems; payer feedback is reactive and can delay correction; and discontinuing checks after the first billing sentence leaves new or evolving errors unchecked, increasing denials and misstatements in the AR.

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