Loc8torHC

Project "Loc8torHC" data sheet

The following table provides information about the project.

 Partnership

Take a look of project's partnership.

Map

 Project objective

Caring of ageing population will be one of the greatest challenges during this century. Most elderly people want to remain independent in their own homes for as long as possible. This decision can cause their children to worry about their parents’ wellbeing. This is when technology enabled care services (TECS), such as telecare and telehealth, provides a solution. TECS revenues in the EU282 countries reached an estimated €1.89 billion in 2013.

To cope with this demand, next-generation telecare and tele-health platforms need to be enriched with innovative products. However, current monitoring devices for the elderly, can be divided into two types. The first is nothing more than a panic button connected to a 24-hour emergency telephone operator. It does little, costs a lot, and results in a lot of false alarms. The second kind is an incredibly complex, medical device that is beyond most seniors’ (and carers’) understanding which prevents mass market adoption.

Loc8tor HealthCare (Loc8torHC), a disruptive, cost effective, scalable TECS platform targeted at the retail market. The core platform will be simple and work out of the box with no installation. Meanwhile, the carer can go online and configure the type of information they want the platform to send them, how often they want to receive updates, and whether they want updates in an e-mail, text message, or some other format.

The core product will include 6 core services; location, wander, fall, panic, activity and temperature in one device. Our competitive advantage is that our platform can easily be configured for numerous applications by adding 3rd party devices (blood pressure, heart rate, etc.) through a plug and play Bluetooth port. The data collected from the medical sensors, combined with daily activity patterns (core Loc8torHC tags), and any other data sources (weather, pollution etc.) will be processed through our algorithm to generate a recommended diagnostic output in real time.