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Medical BillingGenerated accuracy model review: 2026-05-06

Revenue Cycle Staffing Calculator accuracy and testing

This page documents how Calwarden builds trust for this calculator: source notes, regression-style default tests, limitations, assumptions, unit handling, rounding, and visible change history.

Formula source

  • Effective capacity per FTE = items per day * workdays per month * (1 - nonproductive percent). Required FTE = monthly work items / effective capacity per FTE.

Test cases

Default input regression check

Generated from the checked-in default inputs and calculate function.

Inputs

  • Monthly Work Items: 8,000
  • Items per FTE per Day: 45
  • Workdays per Month: 21
  • Nonproductive Time: 15%
  • Current FTE: 8

Expected outputs

  • Required FTE: 9.96
  • Monthly Capacity per FTE: 803.25
  • FTE Gap: 1.96
  • Current Monthly Capacity: 6,426

Known limitations

  • This page documents the checked-in calculator logic and does not certify results for every real-world edge case.
  • Use the result as a planning estimate unless the calculator page states a stricter purpose.

Assumptions

  • Work items are comparable in effort.
  • Productivity inputs are locally defined and not benchmark claims.
  • No staffing data is stored.

Unit handling

  • Monthly Work Items accepts numeric values.
  • Items per FTE per Day accepts numeric values.
  • Workdays per Month accepts numeric values.
  • Nonproductive Time accepts values in %.
  • Current FTE accepts numeric values.

Rounding rules

  • Number displays use up to 2 decimal places in the calculator UI.
  • Input precision follows configured step values where provided.

Version history

1.0.0 - 2026-05-06

Generated accuracy and testing page from the current revenue-cycle-staffing-calculator calculator definition.

Change log

2026-05-06

Published default regression test documentation and metadata fallbacks for Revenue Cycle Staffing Calculator.

Calculator transparency

Accuracy pages are generated from checked-in calculator definitions and can be upgraded with curated review metadata over time.

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