Bridging the Ageing Population Service Gap through the Application of Machine Learning & AI to Home Care

数字家访技术有限公司(VIDA)旨在减少家庭护理中跌倒或出现尿路感染的弱势成年人的数量，从而降低总体护理成本并改善个人的结局。这将通过开发机器学习算法(该项目的目标)来实现，该算法将物联网家庭监控设备收集的数据与照顾者记录的健康和医疗数据相结合，以预测这些事件更有可能发生的时间。VIDA将与Alcove合作，后者将安装家庭监控设备来捕获50个家庭护理客户的定量数据--如运动、光线、温度和压力。通过与一家大型、成熟的护理机构合作开发这项技术，我们预计能够开发一种集成服务，以检测不断发展的医疗状况的早期预警迹象。并提醒相关利益相关者，以便提供早期干预，从而改善客户的结果。

Digital Home Visits Technologies Ltd (Vida) aims to reduce the number of vulnerable adults in homecare having falls or developing UTIs, thus reducing the overall cost of care and improving the outcomes for the individual. This will be achieved through the development of machine learning algorithms (the objectives of this project) that combine data collected by IoT home monitoring devices with health and medical data recorded by Carers, to predict when these events are more likely to occur.Vida will be collaborating with Alcove who will be installing home monitoring devices to capture the quantitative data - such as motion, light, temperature and pressure - from 50 homecare clients.By developing this technology in partnership with a large, established care agency, we expect to be able to develop an integrated service to detect early warning signs for developing medical conditions, and alert the relevant stakeholders in order to provide early intervention and thus improve the outcome for the client.