Designed by Kelly Emrick DHSc, PhD, MBA
Kansas City Advanced Imaging
MRI Break-Even Calculator
Monthly volume analysis for outpatient imaging operations
Operating Schedule
Days per week
Hours per day
Minutes per exam
Average exam slot including room turnover. Default 30 min.
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Maximum theoretical exams/month at 100% slot utilization
Revenue & Volume Assumptions
Average payment per procedure ($)
Blended net reimbursement per exam across payers.
Variable cost per exam ($)
Radiologist reads, contrast, consumables, billing % — set to $0 to simplify.
Estimated actual monthly volume
Realistic monthly volume estimate. Defaults to full capacity if blank.
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Contribution margin per exam (rate − variable cost)
Monthly Fixed Expenses
Total monthly fixed expenses ($)
Paste the bottom-line total from your monthly expense report.
Total Monthly Fixed Expenses
$0
Break-Even Analysis
Break-Even Volume
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exams / month
Break-Even Daily
—
exams / working day
Utilization Needed
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% of schedule capacity
Crossover Point
—
day inflows exceed expenses
Revenue at Estimate
—
at estimated volume
Total Costs at Estimate
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fixed + variable
Monthly Margin
—
at estimated volume
Margin at Full Capacity
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monthly potential
Revenue vs. Expenses by Exam Volume
Enter your expenses to see the break-even crossover point.
Schedule Scenario Comparison
Break-even and margin potential across all four schedule configurations, holding your current revenue and expense inputs constant.
| Schedule | Monthly Capacity | Break-Even Exams | Utilization Needed | Max Monthly Margin |
|---|
Assumptions & methodology. Working days per month calculated as (52 × days-per-week) ÷ 12 — this yields 21.67 days for a 5-day week and 26 days for a 6-day week. Exam capacity assumes continuous scheduling at the configured slot length with 100% slot fill; real-world utilization of 70–85% is more typical. Break-even uses the contribution-margin method: Fixed Costs ÷ (Revenue per exam − Variable Cost per exam). Revenue figures are treated as net (post-contractual adjustments). Collections lag, bad debt, and AR aging are not modeled in this version.