Calculators for people who run the numbers.
Built for clinic owners, practice managers and hospital administrators. Every tool supports 15 currencies and calculates locally — we never see your figures.
Clinic Revenue Health Score
Twelve questions on collections, visibility, capacity and marketing. Get a grade, a breakdown by area, and a personalised list of where revenue is leaking.
Take the assessment →
Revenue Leakage Calculator
What your clinic earns but never keeps — collection gaps, unbilled work, write-offs, plus the capacity lost to no-shows.
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Collections Recovery Calculator
How much of your ageing balance is realistically recoverable, bucket by bucket, and what waiting another month costs.
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No-Show Cost Calculator
The annual price of an empty chair, and whether a reminder programme would pay for itself.
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Patient Acquisition Cost & LTV
What a patient costs to acquire and what they are worth over their lifetime — on margin, not revenue.
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Equipment & Branch Break-Even
How many procedures a new machine or location needs before it pays for itself, with ramp-up modelling.
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What these will not do
Your arithmetic, not our projection.
Every calculator here works on figures you type in. None of them estimates what you would recover, because that number does not exist before somebody reads your claims.
They compute
- What a room-rent breach does to the rest of the bill
- What a no-show rate costs across a month
- What a package should be priced at, from your own billing
- What a tariff mismatch is worth across a year
They never estimate
- What share you would recover
- What Drapto would save you
- How you compare to other hospitals
- Anything we could not show the working for
A calculator is a snapshot. A clinic needs a feed.
These tools tell you what a moment looks like. Drapto tracks the same numbers continuously — by branch, by doctor, by channel — so you find the leak the week it starts, not the year after.
Built to standards, not to a demo
The number this gives you is the start, not the answer.
A review looks at your own figures rather than an average.