Fall Detection ROI for Care Homes: A Practical Model
Build your care-home fall-detection business case from your own incident log, real quotes, and pilot results — not a vendor's universal payback claim.
Will fall detection actually pay for itself in your building? Honest answer: fall detection ROI for a care home cannot be computed from a vendor slide — but it can be built from records you already keep, in about a week. This page is the whole model: seven inputs, three cost buckets, three scenarios, one scorecard.
Fall detection ROI starts with a model, not a payback promise
You have heard the pitch: "one prevented fall pays for the whole system." Ask the salesperson which fall. The CDC counts one in four adults 65 and over falling every year — the community number, before anyone moves into your building. A sensor that finds a resident on the bathroom floor at 2 a.m. did not prevent that fall. It shortened the wait. Different line items — only one is yours to claim.
This worksheet is for administrators and directors of nursing across nursing homes, assisted living, and memory care. Our care-facility overview covers where radar monitoring sits on the floor. This page covers the money.
Define the decision before collecting numbers
Write down what the model must authorize. "Pilot the twelve rooms on the night corridor" is a decision. "Replace the pressure mats in the memory-care wing" is a decision. "Buy monitoring" is not — a rollout and a pilot cost different money and fail in different ways.
Then decide whose economics you are modelling. When a resident breaks a hip, Medicare or the NHS pays the surgeon. You pay the investigation, the family meetings, the agency cover, and the insurance excess. Model only your own ledger — unless a shared-savings contract moves treatment costs onto your side.
The input sheet
Pull twelve months so seasonal swings show up, and keep the source next to every number. We will run a fictional 40-room home through the rest of this page — swap in your own figures.
| Input | Where it lives | What it does in the model |
|---|---|---|
| Falls and unwitnessed falls | Incident log, twelve months | The baseline. Split it by room and by shift |
| Time from fall to discovery, acknowledgement, arrival | Incident narratives, nurse-call logs | The number monitoring actually changes |
| Post-fall staff time | Rota records, case reviews | Paperwork, family calls, GP callouts, extra checks: the hidden labour bill |
| Current alarm workload | Night logs, maintenance records | What pressure mats and bed-exit alarms already cost in false alarms |
| Claims, excesses, premium changes | Your broker's renewal file | Documented costs only. Fear is not an input |
| Hardware, subscription, installation, support | A written quote for your floor plan | The full deployment cost, never a price from an article |
| Training and alert-review time | Your pilot plan | The line every vendor slide leaves off |
Calculate total cost of ownership
Price your actual building, not a headline unit price. As of mid-2026, per-room quotes for radar and optical fall monitoring mostly land at $15-40 a month — a ballpark; get a written quote for your floor plan before anything enters the model. At $25 a room, the 40-room home spends $12,000 a year before anyone reviews a single alert.
Keep three buckets separate:
- Initial: hardware, installation, network drops through old walls, staff training, privacy paperwork.
- Operating: subscription, connectivity, device replacements, and alert-review labour. Four minutes an alert, six alerts a night: 24 staff-minutes, every night, forever.
- Change: rewriting the falls protocol, retraining agency nurses, and the weeks of tuning while false alerts get argued down.
Measure benefits without double counting
The benefit you can defend is time. Mary Tinetti's New England Journal of Medicine research found most fallers cannot get up without help, and that lying unhelped past an hour sharply worsens what follows. A pilot measures that chain: event to alert, alert to acknowledgement, acknowledgement to a nurse in the room. Real minutes, from your corridor.
What pendants promised, they rarely delivered: in one study, 97% of worn emergency buttons went unpressed during real falls. An administrator we spoke with audited pendants on an evening round and found them on nightstands, in drawers, and hanging in shower stalls — everywhere except on residents. Her last unwitnessed fall was found by a routine check, not a button.
Sort every benefit into three boxes:
- Cash you observed. The pressure-mat contract you cancelled. The agency shift you never booked.
- Operations you measured. Faster acknowledgement, fewer blanket hourly checks. Convert to money only where that time is truly redeployed.
- Risk you hypothesize. The claim that never arrives. A scenario, never booked savings.
Never count one chain three times: faster discovery, less time on the ground, and a milder outcome are one causal story, not three benefits.
Use scenarios instead of a single optimistic forecast
Build three cases, changing only assumptions you can point to: rooms covered, alert load, handling minutes, measured response change, contracted costs. In the conservative case, the 40-room home books nothing it did not watch happen — and the proposal still has to survive.
| Scenario | Evidence rule | What it answers |
|---|---|---|
| Conservative | Contracted costs and savings you watched happen | Can we afford this if nothing dramatic is ever prevented? |
| Central | Pilot averages with the range stated | Does controlled expansion make sense? |
| Upside | Clearly labelled hypotheses only | What would justify a longer evaluation? |
A pilot scorecard
Agree the scorecard before the installers arrive, so nobody redefines success in month three. Track:
- alerts per occupied room-night: confirmed events, useful non-fall alerts, false alarms;
- missed events — the system log compared against your own incident log;
- median and worst-case minutes: alert to acknowledgement, acknowledgement to arrival;
- staff minutes per alert, handling plus documenting;
- rooms, hours, and residents outside coverage;
- staff and resident feedback, with the reason behind every opt-out;
- downtime and Wi-Fi drops, dated.
Our guide to comparing fall-detection accuracy explains why missed events and false alarms need separate denominators — one accuracy figure hides both. The response-time workflow splits the notification from the human steps after it — the part your rota controls.
Questions for the approval meeting
- What exactly does a yes authorize — how many rooms, for how long?
- Which numbers came from our records, and which came from the vendor's deck?
- If no injury or claim is prevented during the pilot, what value is left?
- Who owns a 4 a.m. alert, and what does that add to a night shift of two?
- What result makes us stop, redesign, or refuse to expand?
- Which assumptions still need finance, clinical, privacy, or broker sign-off?
When the model is ready for a decision
A defensible case needs no drama. It needs your baseline, a complete cost model, an incident log the vendor cannot touch, and expansion thresholds agreed before installation. If the conservative case is unaffordable, or a night shift of two cannot absorb the alerts, no avoided-incident estimate should rescue the proposal. The model's job is to make your no cheap — and your yes hold up in the room.
What OdeCare won't promise you
OdeCare is radar monitoring: presence, night exits, long stillness in the wrong place. No cameras, nothing on the wrist. Three things we will not do: put a payback period on your slide before reading your incident log, count alerts as prevented falls, or argue when your scorecard decides against expansion.