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

通过机器学习的应用弥合人口老龄化服务差距

• 批准号: 105418
• 金额: $ 50.59万
• 依托单位: DIGITAL HOME VISITS TECHNOLOGIES LTD.
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 财政年份: 2019
• 资助国家: 英国
• 起止时间: 2019 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=105418
• 关键词: Bridging; Ageing; Population; Service; Gap

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.

数字家庭访视技术有限公司（维达）旨在减少家庭护理中出现福尔斯或出现尿路感染的弱势成年人的数量，从而降低护理的总体成本，改善个人的结果。这将通过开发机器学习算法来实现（该项目的目标），结合联合收割机物联网家庭监控设备收集的数据与健康和医疗数据记录的照顾者，以预测何时这些事件更有可能发生。维达将与Alcove谁将安装家庭监控设备，以捕捉定量数据-如运动，光，通过与一家大型的、成熟的护理机构合作开发这项技术，我们希望能够开发一种综合服务，以发现发展中的医疗状况的早期预警信号，并提醒相关利益攸关方，以便提供早期干预，从而改善客户的结果。