Falls in care homes are a critical challenge impacting resident well-being, staff workload, and the financial sustainability of care facilities.
The statistics are evident: older adults in care homes are three times more likely to fall than those living in their own homes and face an emergency hospital admission rate nearly four times higher due to falls. With falls contributing to a staggering 40% of care home admissions, it’s clear that ensuring resident safety from falls is important.
For years, care providers have diligently sought solutions, and reactive systems have emerged as a common approach. These systems, designed to alert staff after a fall occurs, have undoubtedly played a role in improving response times and awareness.
But, in the search for true resident safety, we must ask: are reactive measures enough?
While valuable as a first step, relying solely on reactive systems is like waiting for the alarm to sound after the fire has already started.
True resident safety demands a more forward-thinking approach – one that steps ahead of the fall and focuses on proactive prevention.
Reactive fall systems encompass technologies designed to trigger an alert once a fall or similar incident has already happened. This could include acoustic monitoring that listens for the sound of a fall, wearable alarms activated upon impact, or even regular manual checks by staff to identify residents who have fallen.
These systems offer undeniable benefits.
They can:
However, it’s crucial to recognise the inherent limitations of a reactive approach. By their very nature, these systems only engage after a fall has taken place.
Consider these critical drawbacks:
To increase resident safety, we need to shift our focus to proactive fall prevention. This suggests moving beyond simply reacting to falls and instead aiming to prevent them. Proactive systems are designed to identify the risk before a fall occurs, enabling timely intervention and significantly reducing the likelihood of incidents in the first place.
The core principles of proactive fall prevention are:
The benefits of proactive fall prevention are transformative, offering a significant leap beyond what reactive systems can achieve:
Arquella Sense embodies the philosophy of proactive prevention. It's designed as a proactive system, utilising advanced touchless sensor technology powered by cogvisAI combined with Arquella’s digital nurse call system and call-to-mobile. This innovative combination allows for movement detection, reliably triggering alarms to events and indicators of increased fall risk before a fall occurs.
Arquella Sense is built on the principles of proactive prevention:
Arquella is committed to a proactive care philosophy. We believe in empowering care providers to move beyond simply reacting to falls and to actively create safer environments where residents can thrive, secure in the knowledge that their well-being is being proactively protected.
Reactive systems have served a purpose, but as we strive for ever-higher standards of resident safety and well-being, it’s clear that they represent an incomplete solution. The future of fall management lies in proactive prevention – in technologies and approaches that anticipate risk, enable early intervention, and ultimately reduce the incidence of falls themselves.
Arquella is a leading provider of innovative, interoperable health and social care technology solutions. We develop integrated systems and tools to support various aspects of care delivery, all focusing on improving resident outcomes and efficiency for care providers.
From proactive fall prevention to connected care ecosystems, Arquella is creating a future where technology seamlessly supports compassionate and effective care.
Learn about our full suite of solutions and how technology can benefit your organisation at www.arquella.co.uk.
cogvisAI was developed to meet the challenges of resident care in the most sustainable way possible. With the help of 3D-smart sensors, the system detects movements in the room, analyses and processes this information directly on the device and alerts in case of an emergency via the nurse call system or the carer’s handheld devices.
The module-based care system was created using computer vision, deep learning and artificial intelligence.
Thanks to cogvisAI, 72% of falls can be prevented and repetitive sources of falls eliminated – for a safer and healthier life for our elders.