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RPM Cost-of-Inaction & ROI Calculator

Estimate what unmanaged readmissions may be costing your organization, and what remote monitoring could realistically save, net of program cost.

Your patient population

Assumptions below are pre-filled from published ranges for each condition and are fully editable. Adjust them to match your own data for a more accurate estimate.

Choose the condition your patients mostly have. This just changes the starting numbers below to typical published figures for that condition, you can still change any of them.
How many patients with this condition you see or manage in a typical year. If only some of them would actually join an RPM program, use that smaller number instead of your full patient count.
Out of every 100 patients you discharge, how many end up back in hospital within 30 days? If you don't know your own number, the pre-filled figure is a reasonable published average for this condition.
Of the patients who would have been readmitted, roughly what percentage would remote monitoring likely prevent? Published studies typically show 15 to 30 percent, so that is the safe range to stay within.
Roughly what one hospital readmission costs the system, in Canadian dollars, all in (bed days, staff time, tests). The pre-filled figure is a general published average, adjust if you know your own.
What it would cost per patient, per month, to run the monitoring program (devices, platform, staff time). Leave this blank if you just want to see the savings from avoided readmissions, without subtracting program cost.

Your estimate

Estimated readmissions avoided annually --

Your patient volume × readmission rate × the estimated reduction RPM provides. This is how many fewer readmissions you'd likely see per year.

Gross annual savings (readmission avoidance) --

Readmissions avoided × the average cost per readmission. This is the value of the readmissions you'd avoid, before subtracting the cost of running the program.

This is an early-stage estimate. A pilot program gives you real numbers specific to your patient population.

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This estimate uses editable, published-range assumptions for readmission rate, RPM-driven reduction in readmissions, and average readmission cost, adjustable by condition. It is not specific to your organization's actual data, and is not a guarantee of savings or clinical outcomes. Actual results depend on patient population, condition mix, program design, and local cost structures.