Prevent elderly [people] from being hospitalized

As we grow older our health declines, which increases the risk of falling down - which could turn into being hospitalized. So what can we do to prevent medical injuries from happening?  With an increasing number elderly living (longer) at their own homes, the question is, how to achieve this in a simple, non-intrusive and cost-efficient way.

Prevention involves the need to assess & monitor a person's wellbeing (physical, mental and social); being able to act on the possible downward trends - preferably by suggestion behavioural change(s). This post focusses on what we're doing at 112Motion in the area of assessing and monitoring a person's wellbeing. I.e. the first steps towards avoiding injuries from happening.

Detecting a fall, a personal alarm

When we announced our FallAlert wearable in 2016, the wearable that detects a fall and is a personal alarm, we knew we wanted to do more; trying to prevent incidents from happening. At that time we decided that all our supporting IT had to cater for the future needs of our 'prevention' solutions. Now, in 2017, we reap the benefits of this decision, being able to implement exciting new features in a limiited time frame. 

'Forewarning' of declining health

Wouldn't  it be nice If we can establish people's overall health condition, i.e. their wellbeing; monitor this over time - thus advising & sharing 'what-action-to-take' ?

Our new generation of wearables, to be released soon, 'uses heart related data, which is send to our Health Decision Support platform which analyzes and provides decisions on what actions should be taken (if any) !

The results provide information on

  • Overall wellbeing: the integral wellbeing score
  • Stamina level : an overall assessment of the balance of autonomic nervous system and reserves of strength, that are spent while adopting to different life circumstances.
  • Emotional state: the body's response to continuous and unexpected emotions
  • Bioenergy: the level of physical activity. If it gets too low, it indicates insufficiency of physical activities. If this indicator stays low for a long time it could indicate that a cardiac event will happen.
  • Heart biological age: the extent of health and fitness improvement from lifestyle choices. For example, if a person goes from an average Heart Age of 50 to 42, it means their heart fitness has improved from that of an average 50-year-old to that of an average 42-year-old.
  • Stress level: this reflects to physiological stress, which is considered to be a good predictor of future health problems in cases of prolonged high physiological stress levels. The high stress for long period of time usually indicates the need to rest and/or the insuficciency of sleep and current rest
  • ​Heart rate disturbances: ​heart beats are regular; being able to list the irregularities in heart beats might indicate a reduced ability to exercise or even a serious issue

​By assessing these over period of time we're able to 'identify' the trend and suggest which actions should preferably be taken.

Please note that the wearable also provides realtime information on

  • Heart beat
  • Body temperature

Health Decision Support

The Health Decision Support Platform is a key component in 'Smarter Healthcare'; it collects data from wearables & other devices and manual data can be added. All this data can be analyzed using complex rules and any decision, such as  what action(s) to take, can be defined These can involve automated actions; in case of a serious issue - contact your doctor and share the results with the doctor, or it can suggest actions for caretakers to take.

It's an extemely flexible & powerful system; although it's an IT system, it's main purpose is for medical experts to 'capture' their knowledge, thus sharing their knowledge with others - not by a document, but by a system that provides executable answers. The Health Decision Support 'hides'  is not a 'traditional' IT system; it's best compared to spreadsheets (Excel, Google sheets) ... medical experts can add, or change, specific cases themselves, without the need for IT developers.

Technology overview

Our technology is 'open' - not to be confused with 'open source'. The main goal is to support our own wearables; being able to connect, collect and analyze data and share the results with whomever is involved with taking care of the person; such of course to the discretion of the 'person' ( we avoid the term patient) . The wearable is just one of the devices that we we support. In order to present a proper view of the 'person's' wellbeing - data from other devices will be needed. Which is why we've catered for other device categories: medical, consumer and care can be linked to our platform; thus giving 'carers' (medical experts, professional caretakers and family) the option using other data for decision making!

Our partners

We believe in a Smarter Healthcare EcoSystem, being able to create & deliver solutions that make a difference; solutions which address the needs of people (patients), solutions which are developed by partners, such as Cardiolyse. The Cardiolyse partnership is a prime example of how we 'blend' two solutions into one 'seamless' solution for persons/patients. We've signed partnerships with companies like IBM (BlueMix, Watson) and KPN (worldwide TelCo).

Patient first / patients included

In our vision we see an united world of 'carers'; both professional and personal caretakers - such as family, friends and even neighbours. This doesn't mean all of this is realized yet; 112Motion was established in June 2016, and although we've made great progress, we have long way to go!  We're on a journey to deliver 'Smarter Healthcare'; a journey in which the person, the patient, plays an important role. We want  to organize care 'around'  the patient ; in our Smarter Healthcare vision there are no 'borders' between the [systems of]  professional caretakers, the people, the supporting organizations, such as insurance companies, or any other 'party' involved in care.  It's  an ambition that we have, in which we believe. Please join us if you believe in the same. Connect with Nanno on LinkedIn or contact us via our contact form [here]

Posted in Decision support platform, IoT, Wearables on Feb 09, 2017