Senso24 –

Intelligent Fall , posture and body detection

Transforming outcomes and reducing costs through targeted AI monitoring



The Challenge

1

Falls: A Major Issue

Falls are the largest cause of emergency hospital admissions for older people.

2

Long-term Impact

They significantly impact long-term outcomes, often triggering a move from home to long-term care.

3

Prevalence

Among those aged 65+, approximately 30% living at home experience at least one fall per year.

4

Severity

About 1 in 20 falls result in injury severe enough to require hospitalisation or a fracture.

5

Economic Burden

Falls and fractures in people aged 65+ account for over 4 million bed days per year in England at an estimated cost of £2 billion.

The Opportunity & Policy Context

1

Better Care Fund Policy Framework

The Better Care Fund Policy Framework 2025–2026 emphasizes integrated, preventive care.

2

National Priorities

Reducing falls aligns with national priorities to lower emergency admissions and shorten hospital stays.

3

Senso24's Role

Senso24 addresses these challenges by preventing falls and mitigating costly complications.

Senso24 – Our Innovative Solution

Advanced Computer Vision

Uses advanced computer vision to continuously monitor patients.

Privacy-Focused

Processes video to extract key movement data—raw footage is discarded to ensure privacy.

Real-time Alerts

Detects falls in real time and sends immediate alerts to NHS staff, carers, or family.

Extended Analytics

Provides extended analytics on gait, posture, and activity for proactive care.

How It Works

1
1

Data Capture

Sensors continuously monitor and capture patient movement data.

2
2

Data Processing

AI algorithms analyze body coordinates to detect falls and abnormal patterns.

3
3

Alerts

Immediate notifications trigger timely intervention.

4
4

Dashboard

Real-time analytics enable identification of trends and risk factors.







Dashboard & Live Demo

Evidence & ROI – High-Risk Patients

Target Group

High-risk patients (e.g., 65+ and more importantly those aged 80+ or with recurrent falls).

NHS Data

  • Approximately 30% of over‑65s (2.5 million) experience at least one fall per year.
  • About 16.7% of these falls result in serious injury (e.g., hip fractures).

High-Risk Baseline (per patient/year)

  • Total falls: 1 fall
  • Serious falls: 0.167 falls
  • Non‑serious falls: 0.833 falls

With Senso24 (30% reduction)

  • Serious falls prevented: ≈0.05 per year
  • Non‑serious falls prevented: ≈0.25 per year
  • Total falls prevented: 0.30 per year

Cost Savings

  • Non‑serious: 0.25 × £3,800 ≈ £950
  • Serious: 0.05 × £20,000 = £1,000
  • Total Savings: ~£1,950 per patient per year

Solution Cost

£80/month = £960 per year

Net Savings

£1,950 – £960 = £990 per patient per year

ROI

Approximately 103% (For patients with 2 falls/year, ROI can reach up to 340%.)

Predictive Analytics & Broader Data Benefits

1

Continuous Data Collection

Senso24 gathers long-term data on patient movement and activity.

2

Enhanced AI Models

Over time, predictive analytics can forecast not only fall risk but also:

  • Early signs of dementia (via changes in sleep or activity patterns)
  • Variations in normal waking and daily routines
  • Nutrition and hydration status via bathroom visit patterns
3

Personalized Interventions

Insights enable tailored care plans beyond fall prevention.

4

Sustainability

Optimizes resource allocation and supports a greener, more efficient healthcare system.

Post-Hospital Observation & Sustainability

Extended Deployment

Senso24 can be used for post-discharge monitoring, ensuring early detection of deterioration or repeat falls.

Cost Benefits

Reduces the need for prolonged hospital observation and minimizes re-admissions, lowering overall NHS expenditure.

Greener Approach

Remote monitoring reduces transport and physical resource use, supporting environmental sustainability.

Additional Applications – Beyond Fall Prevention

Exercise Tracking

Monitor and time standing-up exercises to promote mobility and strength training.

Joint Angle Measurement

Accurately assess joint movements to evaluate rehabilitation progress and musculoskeletal health.

Holistic Health Monitoring

Leverage data to detect early dementia signs, abnormal daily activity levels, and nutrition/hydration issues.

Personalized Health Insights

Enable proactive, tailored interventions that improve overall patient outcomes and quality of life.

Implementation & Integration

Plug-and-Play

Plug-and-play hardware and software that integrates seamlessly with existing NHS systems.

Compliance

Will be compliant with NHS information governance and DTAC requirements.

Scalability

Scalable across hospitals, community settings, and long-term care facilities.

Broader Health Benefits

1
1

Quality of Life

Preventing falls maintains patient independence and reduces distress for families.

2
2

Hospital Burden

Fewer falls lead to fewer emergency admissions and shorter hospital stays.

3
3

Long-Term Savings

Reduces the risk of transitioning into costly long-term care, easing pressure on social care services.

Value Proposition & Call to Action

Economic Justification

With an ROI ranging from 103% up to 340% in high-risk groups, Senso24 offers substantial cost savings.

Affordable Investment

At £80 per month, the solution is cost-effective and scalable.

Next Steps

  • Initiate a pilot study in high-risk and post-discharge settings.
  • Collaborate with clinical teams to integrate and refine the solution.

Call to Action

Let's work together to pilot Senso24 and enhance patient outcomes while reducing NHS costs.

Next Steps

1

Pilot Proposal

Schedule a demonstration and pilot study in your high-risk patient areas and for post-discharge observation.

2

Feedback & Refinement

Collaborate with clinical teams to tailor Senso24 to your specific needs.

3

Full-Scale Rollout

Plan a phased deployment to maximize impact and sustainability.





Get in touch at

Justus@skystrm.co.uk