Estimate Your Savings with MoniDose
Adjust the inputs below to model how automated medication dispensing could reduce errors, free up nursing time, and cut costs in your organisation.
All figures are projections based on published research. MoniDose is currently in field testing: results will vary.
How to use the calculator
Five steps: a complete estimate in under a minute
- 1
Select facility type
Care home, home care, or assisted living: shapes the underlying assumptions.
- 2
Set number of residents
People served by the pouch-roll system (1–200).
- 3
Set nurses and costs
Number of nurses involved in medication rounds and their hourly cost (gross pay + on-costs).
- 4
Adjust error rate
Studies put manual dispensing at 1–20%. If unsure, leave the 5% default.
- 5
Read the results
Inputs on the left, estimated annual benefit on the right: everything updates instantly.
Your Facility Details
Residential facility with 24/7 nursing
Total individuals using pouch medication rolls
Number of staff involved in medication rounds
Gross salary + employer contributions (~1.2× multiplier). Finnish RN gross wage ~€33/h (KT 2025).
Proportion of medication events containing an error
Reference: Medication deviations are the most common HaiPro incident type in Finland. Default 5% is conservative: adjust to match your organisation's data.
Estimated Annual Benefit
€3,000–€4,200 / month • 913–1,278 hours freed / year
Where the saving comes from (5 patients)
Estimated daily medication time breakdown
Disclaimer: These estimates are planning assumptions, not clinical data for MoniDose. The error estimates are based on studies of comparable systems, and the time estimates come from MoniDose's internal planning model (illustrative estimate, not clinically validated). MoniDose is currently in field testing and not yet CE-marked (CE marking is coming soon), and the effect of MoniDose itself has not yet been clinically studied. Actual results will vary by organisation, implementation, and care context. Error reduction estimates (19–34%) are based on automated dose dispensing studies (Wekre 2010; Sinnemäki et al. 2013); primary-care evidence is limited. Error cost estimated at €138 per event (95% CI 22–373; Kanninen et al., Health Services Insights 2026: North Savo wellbeing services area). This is a general per-error cost, not device-specific.
What does this mean in practice?
fewer hours on medication tasks per week
Across all 1 nurse handling medication
more hours for direct patient care per week
Estimated time redirected to residents and rehabilitation
equivalent full-time nurse positions
Based on ~1,800 working hours per FTE per year
Estimated Benefits for Care Organisations
MoniDose is being developed specifically for care homes, assisted living facilities, and home nursing: environments where medication safety is critical.
19–34% fewer errors in comparable studies
Automated dispensing is designed to reduce the main error sources of manual distribution: wrong medication, wrong dose, missed dose. Range based on studies of comparable systems; the effect of MoniDose itself has not yet been clinically studied.
Planning estimate for time savings
The aim is to shift nursing time from medication handling to direct patient care. MoniDose's internal planning model (illustrative estimate, not clinically validated) estimates 2.5–3.5 h daily saving per 5 patients. The effect of MoniDose itself has not yet been clinically studied.
Better care quality
When nurses have more time for residents, there is greater opportunity for meaningful interaction, rehabilitation, and improved overall care quality.
Class I medical device under EU MDR 2017/745
MoniDose is a Class I medical device (with software) under EU MDR 2017/745. The company and the device are registered with Fimea and in EUDAMED, and the device has its UDI. CE marking is coming soon.
What MoniDose includes
Development status: MoniDose is currently in development. Features listed represent the intended product specification. Availability, integration capabilities, and final feature set are subject to change prior to market release.
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