Creating a model of care

that we believe in...

The imaginative process

Internet of things

Young people and care workers wear FitBits which monitor heart rates.  Nest thermostat is used to monitor temperature in the home.  The house has a noise monitoring app on the iPad.

These data feeds are encrypted, anonymized and fed into Watson.  Over time based on this data, a team of data scientists make it possible to predict when a traumatised child is about to have an outburst. 

When a certain combination of variables happens, the Care worker is sent a notification alerting them to risk, the temperature drops, and the lights dim gradually to make everyone more comfortable.

 Nest live video is installed at the entries and in in the common areas of houses. This enables two way visual and verbal communications with a team who can provide immediate engagement, support and debriefing to young people and care workers.  Children who refuse to engage benefit as a qualified therapist is available comfortably in the home to provide therapy and support.  Care workers feel safer, and the presence of a recording of incidents reduces the need to write so many reports. 

Live video and audio

Machine learning

 Encrypted, anonymized case notes and timesheets, together with biographical information and a continuous audio feed are fed into Watson.Machine learning on this ‘big data’ reveals previously unknown mental health diagnoses and the short- and long-term results of various therapeutic interventions.The results show that certain language patterns in case notes precede both major breakthroughs and major breakdowns in young people’s skill development.

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