Essence SmartCare launches new fall detection system

Essence SmartCare has launched a new telecare-based fall detection system to help older people stay safe in their own homes.

The new system – MDsense – uses wall-mounted intelligent sensors, rather than wearable devices.

It has no video or sound function, operates seamlessly 24/7, is wire free, works in light or dark rooms, is waterproof and can differentiate between multiple people and pets.

Current fall detection systems can generate a high ratio of false alarms, plus research by Essence has found that less than half of those in residential care wear fall detection devices, significantly increasing the risk of reliance on wearable technology for falls management.

MDsense is part of Essence’s Care@Home, a complete, certified, cloud-connected advanced telecare solution.

Care@Home uses AI and machine learning, to continuously collect actionable data to ensure ongoing learning, enabling accurately rapid response to fall events, better care management and more positive outcomes.

‘Current fall monitoring systems leave the responsibility for alerting carers about a fall to the resident. MDsense enables independence and is always there, ready to support when needed, offering real peace of mind for both the cared-for and the carer.,’ said Essence Group chief executive, Dr Haim Amir.

‘With this global launch, we now provide complete fall protection in every room, which current classic Telecare solutions cannot provide.’

Essence SmartCare’s general manager, Barak Katz commented: ‘Essence is proud to be leading the market with this breakthrough which will give our customers such a precise and secure way to make residents safer.’

‘Our vision at Essence SmartCare is to use technology to make lives better. We believe that our multi-dimensional technology will make the walls of care facilities smarter and ultimately make the home safer, allowing elderly and vulnerable people to live longer, better, with fewer worries about falling which impact their freedom and self-esteem.’

Photo Credit – Supplied