Exploring how IoT (Internet of Things) devices can enable vulnerable residents to be more independent in their home, promoting preventative intervention augmented by AI DISCOVERY

Project details:

Organisation Cornwall Council
Department Digital Cornwall
Collaboration Level Open To Conversation
Budget £50K > £100k
Key Contact David Witts
Phase start 04 September 2019
Phase Estimated end 16 September 2019

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We are considering the following for an application to round 3 of the MHCLG Local Gov Digital Fund and we are looking for active partners to get involved.

Update: London Borough of Brent have confirmed they are very keen to be involved and are signed up as a primary partner.

Current demand and pressure on Health and Social care services in Cornwall is very high, whist funding in these areas has decreased.

The causes of the demand are numerous but some of the primary causes are:

  • Cornwall has one of the oldest demographics in England, with 1 in 4 of the population over the age of 65 and this is predicted rise to 1 in 3 by 2036.
  • Cornwall’s population is expected to rise by a further 18% by 2040.
  • Average life expectancy is higher in Cornwall than the national average.
  • 11.9% of residents provide unpaid care to a family member, friend or neighbour.
  • 1 in 10 residents (53,166 people) say their day to day activities are ‘limited a lot’ due to a long term health problem or being disabled. 

When putting these factors together it’s clear that the demand on these services is only going to increase. This will be the case across most of the UK but will be experience first by Cornwall.

In Cornwall we are very resident focused and want to do the best for our residents and make Cornwall an attractive place for people to live. One way we can start to achieve this is by helping resident to become more independent.

Helping residents to be more independent will enable them to live heathier and happier lives whist reducing the level of demand on both Council and Health services.

We want to investigate potential applications using IoT devices in residents homes and on their person to provide preventative care.

There are many scenarios we could investigate, but just as an example, the use of IoT heart rate and blood pressure monitors is one area. If you selected residents with epilepsy and supplied them with these personal devices, the information can be transmitted immediately to AI algorithms which can predict (with high levels of accuracy) when somebody is about to have a seizure, it can then alert them to this event, asking them to sit down immediately, preventing any further injury from falling, as well as doing this we can alert family members or carers so that they can check on the individual.

It’s clear in this one example that residents’ lives are significantly approved through the avoidance of serious injuries and that in turn reduces demand on Health and Social care services.

The discovery work will help us identify more opportunities for IoT use cases and start to calculate the potential benefits and savings, these finds would of use to not only Councils but NHS services throughout the UK.

If you would like to be a partner in our application please let me know by cob Friday 13th September at the very latest.


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