Revenue Integrity & Charge Capture Command Center PRO | Excel Dashboard

Revenue Integrity & Charge Capture Command Center PRO | Excel Dashboard

Organization License
$69.99
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Revenue Integrity & Charge Capture Command Center PRO | Excel Dashboard

Revenue Integrity & Charge Capture Command Center PRO | Excel Dashboard

$69.99

Digital download · Review the preview, included files, software and license below before checkout.

TitleOrganization License

Find charge-capture exceptions before they become downstream revenue leakage.

Revenue Integrity & Charge Capture Command Center PRO is an editable Excel workbook for tracking encounter-to-charge exceptions, missing or late charges, documentation readiness, coding readiness, bill holds and ownership.

Inside the workbook

  • Work Queue — encounter, DOS, facility/practice, department, provider, service, expected charge, posted charge, variance, readiness, hold, exception category, owner, priority and next action.
  • Executive Dashboard — summary visibility into work-queue exceptions.
  • Root Cause Library — common missing-charge, late-charge, documentation, coding and bill-hold scenarios.
  • Quick Start — a practical workflow for reconciling encounters and assigning exceptions.

How it works

Expected charges, posted charges, variance, readiness and hold fields are maintained by your team. The workbook does not connect to an EHR, charge master or billing system, and it does not guarantee recovered revenue.

Build the workflow

Pair this mid-cycle control with Claims & Billing Edit Control PRO for pre-bill exceptions and Cash Posting & Reconciliation PRO for payment reconciliation. Explore all five in the RCM Command Center PRO Systems collection.

Designed for

Revenue Integrity, hospital and physician RCM, Coding and operational leadership.

Editable Excel workbook delivered digitally. No physical item is shipped. Organization License included.

Important

Confirm charge, documentation, coding and bill-release decisions in your authorized systems using current policies. Use fictional, aggregate or properly de-identified encounters in examples.