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Be guided - Because 240,000 patient falls a year is 240,000 too many.

Close up image of the material used to prevent falls

Every year, over 240,000 falls are reported in NHS hospitals across England.
That’s more than 600 people every single day — many of whom were already vulnerable.

NICE guidelines (NG249, 2025) are clear:
We should stop relying on prediction tools.
We should assess real movement. React faster. Monitor smarter.

So… what if there was a way to do exactly that?

nervous Asian woman granddaughter and wife shaking her grandfather trying to awake him. th

1

The Real Risk Isn’t Just Falling — It’s What We Miss Before the Fall

A fall is rarely just “an accident.”
It’s often the final link in a chain of subtle signals — moments that go unnoticed because they don’t scream for attention.

 

It starts with a small change:

  • A slower turn in bed than usual

  • Fewer overnight movements

  • A period of unexplained stillness

  • Or perhaps a bit of agitation during sleep

  • Even the way someone leaves the bed — slower, off-balance, hesitant
     

These aren’t incidents. They’re indicators — signs that something’s changing.

But in a busy ward or care setting, you can’t always spot them. You can’t always measure them.

And without visibility, these changes stay silent — until the fall.
 

2

Introducing a New Way to See What We Usually Don’t

We won’t call it a monitor.
It doesn’t beep wildly or overwhelm staff.


Instead, it works quietly under the surface — like a sixth sense for movement, stability, and change.

  • Tracks how long it takes someone to turn or get out of bed

  • Shows potential for early signs of deterioration or frailty

  • Highlights real movement patterns, without guessing or predicting

  • Helps staff ask better questions — and act earlier

It’s not prescriptive. It’s observational insight — aligned with how we should be thinking about falls.

3

Built Around
NICE’s Core Recommendations

This intelligent device supports every major pillar of NG249:

NICE Focus Area

Avoids prediction tools
Tracks actual behaviour without relying on scores or assumptions

 

Supports mobility & frailty assessments
Offers repositioning metrics

 

Improves hospital/care home supervision
Guides staff in real time for patient movement and ability

 

Promotes education & engagement
Visualises behaviour trends for carer–patient discussion

 

Supports reviews & planning
Provides data to guide care plans

Inflating the flat lift kit for picking patients off the floor

Why It Matters

Falls cost the NHS over £1 billion a year.
They account for 250,000 lost bed days.
And 1 in 50 leads to life-changing injury — or worse.

 

Yet many carers are still relying on gut instinct and manual checks.


This isn’t about replacing that — it’s about backing it with data.

Cropped image of old man looking at nurse, holding her hand and smiling while lying in bed

Not a Gimmick. Not a Guess.
A Guide to Care.

Whether you’re in a hospital ward, care home, or supporting patients in the community, this technology is here to:
 

  • Provide data without creating more admin

  • Give teams confidence in the timing of their interventions

  • Support earlier discharge and smarter rehabilitation

  • And most importantly — change the conversation about falls and patient care

  • This device is a Class I medical device, intended to support observational insight into patient mobility. It is not intended to diagnose, measure, or replace clinical decision-making.


Stay curious. Stay ahead.
Be ready to care differently,
It’s not telling you what to do —
it’s showing you what’s changing.

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