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Hospital OperationsGenerated accuracy model review: 2026-05-06
Clinic Visit Capacity 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
- Capacity = rooms x hours/day x days x 60 / visit minutes x utilization percent.
Test cases
Default input regression check
Generated from the checked-in default inputs and calculate function.
Inputs
- Exam Rooms: 12
- Clinic Hours per Day: 8 hr/day
- Operating Days: 20
- Average Visit Length: 30 min
- Utilization: 85%
Expected outputs
- Estimated Visit Capacity: 3,264
- Visits per Day: 163.2
- Total Room Hours: 1,920 hr
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
- Exam Rooms accepts numeric values.
- Clinic Hours per Day accepts values in hr/day.
- Operating Days accepts numeric values.
- Average Visit Length accepts values in min.
- Utilization accepts values in %.
- Total Room Hours is displayed in hr.
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 clinic-visit-capacity-calculator calculator definition.
Change log
2026-05-06
Published default regression test documentation and metadata fallbacks for Clinic Visit Capacity Calculator.
Calculator transparency
Accuracy pages are generated from checked-in calculator definitions and can be upgraded with curated review metadata over time.