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Hospital OperationsGenerated accuracy model review: 2026-05-06

Average Length of Stay 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

  • ALOS = inpatient days / discharges. Bed-days vs target = discharges x (actual ALOS - target ALOS).

Test cases

Default input regression check

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

Inputs

  • Inpatient Days: 1,260 days
  • Discharges: 300
  • Target ALOS: 4 days

Expected outputs

  • Average Length of Stay: 4.2 days
  • Bed-Days vs Target: 60 days
  • Discharges per Bed-Day: 0.24

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

  • The calculators use simple transparent formulas rather than vendor-specific analytics models.
  • Inputs are processed locally in the browser and are not stored by Calwarden.
  • This is operations planning math, not medical, legal, staffing, billing, or financial advice.

Unit handling

  • Inpatient Days accepts values in days.
  • Discharges accepts numeric values.
  • Target ALOS accepts values in days.
  • Average Length of Stay is displayed in days.
  • Bed-Days vs Target is displayed in days.

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 average-length-of-stay-calculator calculator definition.

Change log

2026-05-06

Published default regression test documentation and metadata fallbacks for Average Length of Stay 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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