How much could Medmio save you?
Model it yourself — three savings drivers, your numbers, transparent math. The sliders are your scenario assumptions, not our promises: set them where you believe they should be, and see what a year looks like.
Your practice
Preloaded with an example practice — swap in your own numbers.Lower coding costs
- per year CodeSight drafts the codes; a human reviews the queue. You set the saving.This is a scenario model, not a quote, forecast, or guarantee. The page loads with a generic example practice so you can see the mechanics; every figure recomputes from the numbers and slider assumptions you enter, and results depend on your payer mix, specialty, documentation quality, and how the levers actually perform for your practice. Nothing you type is stored or transmitted — the page runs entirely in your browser. Medmio pricing is scoped per practice; see how pricing works.
How the math works
Fewer denials = encounters × 12 × your reduction (pts) × avg reimbursement. Lower coding costs = encounters × 12 × cost per chart × your reduction %. Recovered patients = patients lost per year × your win-back % × (avg reimbursement × visits per year). The total adds all three. Change a slider, change the answer — that’s the point.
Frequently asked questions
No. It is a scenario model: every result is computed from the volumes, dollar values, and slider assumptions you enter. Nothing here measures or promises Medmio's performance for your practice - that is what a scoped pilot is for. Medmio pricing is scoped per practice; see the pricing page for how the components work.
From you. The page loads with a generic example practice (1,200 encounters a month, $150 average reimbursement, 10% denial rate) purely so you can see the mechanics - replace any value and everything recomputes instantly. The sliders are your own what-if assumptions. For third-party industry reference stats, see the free Denial Cost Calculator, which cites published sources.
A published Medmio case study: an anonymized vascular practice recovered $4.1M of revenue in one year by re-engaging patients lost to follow-up. It is one real data point, not an average - recovery potential depends heavily on your attrition rate, specialty, and average per-visit value.
Like your scenario? Pressure-test it.
A pilot replaces slider assumptions with your practice's real numbers — scoped up front, measured against the baseline you just entered.