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Hartland House Care Home cuts falls by 84% with Nobi AI smart lamps

“Hartland House Care Home cuts falls by 84% with Nobi AI smart lamps” documents a Patient Safety & Fall Prevention deployment in Senior & Home Health at Hartland House Care Home. digitalcarehub.co.uk reports fall reduction: 84%; this directory has not independently verified that result.

Maintained by Peter Korpak, Founder & Chief AnalystHow evidence is checked

Evidence at a glance

Evidence status:
Automated evidence gate passed
Deployment timeframe:
Not reported by source
Reported outcome metrics:
3 cited below
Directory entry published:
Source link checked:

The source-link check confirms reachability, not independent re-verification of every claim.

84%Fall Reduction
57 min → <2 minResponse Time Reduction
100%Fall Detection Rate

Source-reported figures — cited source: digitalcarehub.co.uk

Hartland House Care Home
Metric Before After Impact
Fall Rate 84% reduction 84% reduction
Response Time 57 minutes <2 minutes ~97% reduction
Fall Detection Rate 100% Perfect detection
Long-Lie Incidents 0% Eliminated entirely

The Challenge

Falls are a leading cause of hospital admissions in the UK, placing significant strain on both the NHS and care facilities. Hartland House, a 31-bedroom residential care home in Milnthorpe, Cumbria serving older adults including those with dementia, faced ongoing fall risks with slow response times averaging 57 minutes. Long-lie incidents — where residents remain on the floor after a fall — posed severe health risks including fatality.

The Solution

Hartland House implemented Nobi Smart Lamps across high-risk bedrooms as part of a six-month pilot supported by NHS Lancashire and South Cumbria ICB. The lamps combine optical sensors and AI to detect falls with 100% accuracy, use smart lighting to prevent nighttime disorientation, and automatically alert caregivers when residents leave their beds. If a fall occurs, the lamp verbally prompts the resident and immediately notifies staff if a clear 'no' is not given.

Results

Falls were reduced by 84% and fall detection achieved a 100% rate throughout the pilot. Average response times dropped from 57 minutes to under 2 minutes, and long-lie incidents were eliminated entirely (zero rate). Administrative burden also fell sharply — each fall previously required up to six hours of paperwork, freeing staff for direct resident care. The success prompted expansion of the technology from 8 rooms to the entire home.

Key Takeaways

  • A proactive, AI-driven approach to fall prevention can dramatically shift care from reactive to preventive, reducing both harm and staff burden.
  • Even a small-scale pilot (8 rooms) can produce compelling enough results to justify full-facility rollout within months.
  • Scaling this technology across UK care homes could save the NHS approximately £156,585 per day in ambulance costs alone.

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Details

Company Size
SME
Evidence status
Automated evidence gate passed
Deployment timeframe
Not reported by source
Directory entry published
Source link checked

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