Case study · Residential, dementia & nursing care
Teton at a leading UK care operator
What 192 days across two care homes run by one of the UK’s three largest care operators reveal about unwitnessed falls, night-time workforce time, and the economics of prevention.
Executive summary
Safer residents, time back to carers, a path to breakeven.
Over 192 live days across two of the operator’s homes, Teton was tested against the question every operator asks of new technology: does it make residents measurably safer, does it give time back to carers, and does it pay for itself? On all three counts, the pilot returned clear, independently-assessed evidence.
The strongest signal came at night. Unwitnessed falls — the events that go undetected between rounds — fell sharply at Home A, while the time taken to reach a resident after a fall collapsed from up to three-quarters of an hour to around a minute.
Underneath those headlines, digital checks quietly replaced thousands of intrusive physical room visits — and carers, residents and relatives all became advocates for the system.
Operator
One of the UK's three largest care operators
Sites
2 care homes (Home A & Home B)
Setting
Residential, advanced dementia & nursing
Dataset
65 residents · 54 rooms
Live days
192 · Aug 2025 – Jan 2026
Assessment
27 key results, independently assessed
>30%
Fewer falls at Home A — 82% on Teton's own measurement
95%
Faster response to a fall across both homes
9,400
Digital night checks replacing physical room checks
9.4
Average carer recommendation — an NPS of 85
The operator stakes
A fall no one sees is the hardest event in care to manage.
An unwitnessed fall is discovered late, reconstructed from memory, and followed by hours of administration — all while the resident waits for help that should have come in seconds.
Traditional mitigation leans on two blunt instruments: frequent physical night checks, and paperwork after the fact. The first disrupts residents’ sleep and pulls carers away from person-centred care; the second consumes clinical and leadership time no community has to spare. Neither tells you what actually happened. The pilot set out to test whether continuous, privacy-first observation could change that equation.
Response time · Home A
45→1
The average time between a fall and a carer arriving fell from as long as 45 minutes to roughly one minute once Teton was live.
How it was run
A structured pilot, independently assessed.
The homes spanned the full range of care — residential, advanced dementia and high-dependency nursing — and each was measured against its own prior performance. Sources: Teton, incident logs, occupancy records and weekly leadership interviews.
One floor at each home
A sensor in each resident room, single sign-on for staff, and a mobile app on care devices — deployed across residential, advanced-dementia and high-dependency nursing rooms.
A defined baseline first
Each home ran a baseline period before go-live, so outcomes could be compared against the home's own prior performance rather than an external benchmark.
Onboarding, then extended use
Go-live was followed by onboarding and an extended use phase, with fall incidents, response times, occupancy and surveys tracked throughout.
65
residents across 54 rooms
2
care homes — Home A & Home B
192
live usage days, Aug 2025 – Jan 2026
27
key results independently assessed
Safety outcomes
Fewer falls, and a response measured in seconds.
At Home A the falls rate fell steadily after go-live and reached its lowest point in January. Just as important, every fall that did happen was reached almost immediately.
~1 min
average time to reach a resident at Home A, down from up to 45
95%
faster response across both homes — 97.5% at Home A, 73% at Home B
82%
fewer falls at Home A in January on Teton's continuous measurement
>30%
fewer falls against the incident-log baseline
Workforce & operations
Time redeployed to care, not removed.
The pilot did not cut staffing. It changed how the night was spent. Digital checks replaced intrusive physical rounds, so visits became fewer but longer — and the time saved went back into direct, person-centred care and oversight.
Routine visits fell while the time spent on each visit rose — the signature of interruptions replaced by intention, with Teton embedded into every handover at both homes.
9,400
digital night checks completed, replacing physical room checks
~1 hr
saved per two-hour round, redeployed to direct care and oversight
100%
shift coverage — Teton embedded into every handover at both homes
0
last-minute absences needed backfill, absorbed given Teton oversight
Regulatory & safeguarding
Objective evidence, regulatory confidence.
Special measures
Avoided escalation.
Despite 13 fractures in two months at one home, objective video evidence prevented regulatory escalation.
CQC follow-up
Fewer inquiries.
Footage supported safeguarding notifications and reduced follow-up inquiries from regulators.
Investigations
Hours to minutes.
Fall investigations fell from over two hours to minutes, with reviewable, time-stamped evidence attached.
“
We avoided special measures despite 13 fractures in two months. The video evidence prevented unnecessary escalation.
Home Manager
Pilot site · Home A
Advocacy
Trusted by carers and families alike.
9.4
Care colleagues · NPS 85, no net detractors
- 83% feel more confident responding to residents
- 58% report a more manageable workload
- 100% login coverage during the pilot
8.75
Relatives & residents · NPS 50
- 83% feel their loved one is safe with Teton
- 83% report their relative sleeps better
- 92% comfortable with the device in the room
“
I have gained valuable time back to focus on care plans, deep dives and quality. Care plans are now much more person-centred, and staff feel empowered to respond.
Home Manager
Pilot site
The economics of prevention
A credible path to breakeven.
At an indicative £5,600 per month for an 80-bed home at full coverage, Teton is recoverable through a single ROI lever — with further upside from occupancy, private-pay demand and reduced legacy spend. Both home managers said they would keep it even if their own pay depended on delivering breakeven.
Indicative cost · 80-bed home
£5,600
per month at full coverage — recoverable through any one of the levers below; the others compound the return.
Occupancy protection
Converted short-term discharge-to-assess placements into permanent residents — about 1.1 extra on average.
Private-pay demand
Organic private-pay enquiries linked to Teton, with no active promotion, plus support for protecting CQC ratings.
Workforce optimisation
Reduced overnight demand enabled redeployment, with absences absorbed without backfill.
Legacy tech savings
Removed legacy sensor mats — about £500 each, up to ten replaced per year — during the pilot.
Beyond fall detection
Proactive, preventative care.
The pilot’s clearest surprise was how far teams took the data beyond falls — early evidence that Teton behaves less like a single-use safety device and more like a platform for the whole community.
Earlier illness detection
Signals before symptoms.
Health-score trends, respiratory rate and bathroom-visit frequency help flag infection or illness, such as UTIs, sooner.
Clinical pattern spotting
Person-centred plans.
Staff identified pre-seizure signs and built more detailed, person-centred falls and sleep care plans.
Better-informed escalation
Confident decisions.
Objective context enabled earlier, more confident clinical escalation; anecdotally, hospital admissions were avoided.
Portfolio-level visibility
Estate-wide oversight.
Comparable data across homes supports estate-wide oversight and smarter deployment of staff.
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