Welsh Social Care Hack

A summary of some of the challenges submitted so far can be found below:

1. Facial Recognition & Machine Learning To Ensure Quality Of Care In Homes. 

   Challenge overview: “Carehome residents, deviating from “normal behaviour” can be a key indicator that something is wrong with the Resident, and a follow up may be required. Through the use of facial recognition and machine learning we could learn residents “normal” behaviour and raise a flag when they deviate from it.”

2. Digital Memory Box for Care Experienced Young People.
   

   Challenge Overview: “Young people in care are some of the most vulnerable people in our society. They often have suffered traumatic events and have had a range of different people involved in their lives, as well as experiencing many placement moves. Memories are very important. They help young people to gain an understanding of traumatic events as well as celebrate the positive things in their lives. The use of technology and funding will help to develop a digital platform that would store these items in a safe accessible way.”

3. Sputum assessment app.

   Challenge Overview: “COPD patients are often given ‘rescue packs’ which include antibiotics and steroids for use when they have exacerbations caused by viruses or bacteria. However, there is no established way to identify if the cause of the exacerbation was due to a viral or bacterial infection. One way of recognising that the flare-up is caused by bacteria, could be to look at the colour of sputum (phlegm) patients produce, and use a smartphone camera to identify if the colour indicates an infection or not. If the colour falls within the infection spectrum then the app would advise the patient to take an antibiotic.”