AssistAble: Sustainable Smart Home for Healthy Independent Ageing

AssistAble：可持续智能家居，促进健康独立老龄化

• 批准号: 85054
• 金额: $ 12.54万
• 依托单位: PERSEPTIVE LIMITED
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 财政年份: 2020
• 资助国家: 英国
• 起止时间: 2020 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=85054
• 关键词: AssistAble; Sustainable; Smart; Home; Healthy

COVID-19 has led to wide-scale disruption in the NHS, worsening delays in routine care, increasing costs and reversing efforts to improve sustainability. The elderly have been disproportionately affected, with increased social isolation and reduced mobility, leading to reductions in mental and physical function that may never be recovered, with barriers to healthcare access increasing for vulnerable and minority groups. Digital transformation is urgently needed to meet COVID-19 related challenges, whilst maintaining current care standards in the face of a rapidly ageing population. Independent living improves life satisfaction and happiness whilst reducing pressures on the NHS and social care, and is a UK Government priority targeting 5 extra years of independent living by 2035\. Sustainability and carbon reduction in healthcare is a key part of the Government's Clean Growth Strategy; with the NHS being the largest contributor of public sector carbon emissions, significant reductions can be achieved by improving/increasing uptake of remote healthcare.Frailty is the key condition leading to loss of independence, affecting 10% of people aged over 65 years and 50% of those over 85 years old, with increased prevalence in ethnic minority groups. Frailty can be accurately assessed by measuring walking speed and the time it takes to stand up from sitting, but these are not typically measured in a busy clinic and diagnosis is often based on subjective clinical opinion. Reduced walking speed directly relates to increased risk of falls, hospital admission, nursing home residence and early death. Appropriate early interventions can reduce and reverse frailty and increase disability-free life years.AssistAble exploits recent advances in machine-learning/AI enabling accurate assessment of body movement using a simple webcam, giving information and trend analysis of walking speed, instability, and the time it takes to stand up from sitting. This information will be used to accurately grade frailty and improve clinical care by sharing outputs with doctors, nurses, social care professionals and relatives, who can act to halt or reduce frailty, have early warning of acute illnesses, improve care planning, and reduce the frequency of falls.The vision is to lead smart telecare for seniors, promoting healthy independent living and equitable healthcare access, whilst decreasing NHS carbon footprint from GP/hospital transport and clinical building occupancy by enabling remote elderly care and reducing avoidable hospital admissions.

COVID-19 导致 NHS 出现大范围混乱，导致日常护理延误情况恶化，成本增加，并扭转了改善可持续性的努力。老年人受到的影响尤为严重，社会隔离加剧，行动不便，导致精神和身体功能下降，且可能永远无法恢复，弱势群体和少数群体获得医疗保健的障碍也越来越大。迫切需要数字化转型来应对 COVID-19 相关挑战，同时在人口迅速老龄化的情况下维持当前的护理标准。独立生活可以提高生活满意度和幸福感，同时减轻 NHS 和社会护理的压力，是英国政府的优先事项，目标是到 2035 年将独立生活时间延长 5 年\。医疗保健领域的可持续性和碳减排是政府清洁增长战略的重要组成部分；由于 NHS 是公共部门碳排放的最大贡献者，因此可以通过改善/增加远程医疗保健的使用来实现显着减少。虚弱是导致丧失独立性的关键条件，影响 10% 的 65 岁以上人群和 50% 的 85 岁以上人群，在少数族裔群体中患病率更高。可以通过测量步行速度和从坐姿站起来所需的时间来准确评估虚弱程度，但这些通常不会在繁忙的诊所中测量，并且诊断通常基于主观临床意见。步行速度降低与跌倒、入院、入住疗养院和过早死亡的风险增加直接相关。适当的早期干预可以减少和扭转虚弱状况，并延长无残疾寿命。AssistAble 利用机器学习/人工智能的最新进展，使用简单的网络摄像头即可准确评估身体运动，提供步行速度、不稳定性以及从坐姿站起来所需时间的信息和趋势分析。这些信息将用于通过与医生、护士、社会护理专业人员和亲属分享成果来准确分级虚弱程度并改善临床护理，他们可以采取行动阻止或减少虚弱，对急性疾病进行早期预警，改进护理计划并减少跌倒频率。我们的愿景是为老年人提供智能远程护理，促进健康的独立生活和公平的医疗服务，同时减少全科医生/医院交通和医疗服务中的 NHS 碳足迹。 通过实现远程老年护理和减少可避免的住院情况来提高临床大楼的占用率。