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Predicting the future one cuppa at a time

In the second of our articles with leading connected care platform Anthropos, we take a look at the potential for predicting care needs just by watching the kettle boil…

Many families will be facing  a frightening winter supporting frail older parents and relatives stay safe and well at home.  Anthropos, the leading connected care platform, with Age Space, are on a mission to engage social care professionals and the public to a better understanding of what telecare, connected care and remote monitoring systems can deliver.  

predicting the future of care

The big question to be asking about technology at home

The question that families and professionals alike should be asking is “Will this technology maintain safety and independence at home and crucially enable better, more informed decisions about the care that may be needed?”

The benefits of care technology in supporting the everyday safety and independence for someone’s Mum, Dad or grandparent at home is becoming clearer to consumers and social care providers.  But according to Anthropos and Age Space, monitoring someone’s everyday routine and changes to it, is just the start.

The focus needs to be how the gathering of information and these new technologies will make a difference to individual families and care providers in the longer term: to predict and start to influence changes in daily routines, and to be able to forestall a decline in health for individuals over time.

How data driven care can really help

On its own, providing a notification of something like the fridge door being opened or the kettle being boiled is of limited value. That information needs to be placed in context.  Similarly, an alert that Mum is not out of bed one morning may just mean that Mum overslept or it could mean she has hurt her back and cannot get out of bed. Understanding Mum’s previous daily routine helps place the data in context and provides greater meaning. 

predicitng the future of care

Remote monitoring systems such as Anthropos’ connected care platform use machine learning to look for meaningful changes in the daily routine of an individual; to then decide if that change means the older person requires immediate help or if that change is something more subtle, taking place over time. Our daily routines reveal distinct patterns or behaviour so spotting changes becomes an essential way to help better understand what is happening to individuals when they are alone.  

Said Anthropos COO Tom Oliver: “If you think about it, we are all creatures of habit, but all very different in those habits. We can build a picture of someone’s daily routine in about 30 days. After that the crucial thing is to compare you with you so that we can place every data point recording into a context of your daily routine.

“Sometimes the changes in our lives are small and subtle and hard to spot over time, even for people living together or daily visitors: a little less time in bed here or an increase in bathroom visits there could easily be dismissed as unimportant, but if we see that change taking place in context, perhaps it’s an indicator of something else going wrong”.

Case study: spotting signs of Dementia

As part of the Taking Care Smart Home Alert system, Mary, aged 77 who lives alone, has smart plugs fitted which can monitor her use of appliances such as kettles, microwave and a sensor in her fridge. 

Mary’s daily routine can be pretty consistent. The smart plug captures Mary’s usual kettle usage: she may boil the kettle once or twice in the morning, and then once or twice again for a cup of tea in the afternoon. 

predicting the future of care

This is a pattern of behaviour that is fairly consistent for the best part of a year. But then, Mary starts to boil the kettle a lot more each time she uses it, perhaps 4 or 5 times in quick succession for example.

Though this could just be a change in routine, it could also be for example, an early sign of dementia.  Mary may be forgetting she has boiled the kettle. Though the smart home monitoring technology can’t tell for sure either way, it will flag the change in pattern that will alert a family member or carer to find out more. 

Patterns of behavious to predict care needs

If the system is being used by others like Mary who also start to exhibit changes in behaviour, then it becomes possible over time to see repeat patterns.  These provide greater certainty that something is wrong – and enable help before the situation – and Mary’s health – declines, with all the related implications of this.

The critical task for any of the technology systems installed into older people’s homes is not just to collect data but to understand the individual so that the changes seen are placed in the context of that person’s life. By understanding both big and small changes to the daily routines of older people we can better target support for them. 

To be able to better predict the future we must encourage families and social care professionals to ask the key question about technology, not just for a loved one’s safety and independence today and tomorrow, but for our ageing population in the long-term.

Anthropos (  is the leading connected care platform with a track record in delivering tech solutions to the care sector and other providers. The Anthropos system provides insights and evidence to support families and care providers to refine care plans and make better care decisions. 

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