EMERGENCE: Tackling Frailty - Facilitating the Emergence of Healthcare Robots from Labs into Service

出现：解决脆弱性——促进医疗机器人从实验室进入服务领域

基本信息

批准号：
EP/W000741/1
负责人：
Praminda Caleb-Solly
金额：
$ 90.23万
依托单位：
University of Nottingham
依托单位国家：
英国
项目类别：
Research Grant
财政年份：
2022
资助国家：
英国
起止时间：
2022 至无数据
项目状态：
未结题

来源：
https://gtr.ukri.org/projects?ref=EP%2FW000741%2F1
关键词：
EMERGENCE Tackling Frailty Facilitating Emergence

项目摘要

The EMERGENCE network aims to create a sustainable eco-system of researchers, businesses, end-users, health and social care commissioners and practitioners, policy makers and regulatory bodies in order to build knowledge and capability needed to enable healthcare robots to support people living with frailty in the community.By adopting a person-centred approach to developing healthcare robotics technology we seek to improve the quality of life and independence of older people at risk of, and living with frailty, whilst helping to contain spiralling care costs. Individuals with frailty have different needs but, commonly, assistance is needed in activities related to mobility, self-care and domestic life, social activities and relationships. Healthcare can be enhanced by supporting people to better self-manage the conditions resulting from frailty, and improving information and data flow between individuals and healthcare practitioners, enabling more timely interventions.Providing cost-effective and high-quality support for an aging population is a high priority issue for the government. The lack of adequate social care provisions in the community and funding cuts have added to the pressures on an already overstretched healthcare system. The gaps in ability to deliver the requisite quality of care, in the face of a shrinking care workforce, have been particularly exposed during the ongoing Covid-19 crisis.Healthcare robots are increasingly recognised as solutions in helping people improve independent living, by having the ability to offer physical assistance as well as supporting complex self-management and healthcare tasks when integrated with patient data. The EMERGENCE network will foster and facilitate innovative research and development of healthcare robotic solutions so that they can be realised as pragmatic and sustainable solutions providing personalised, affordable and inclusive health and social care in the community.We will work with our clinical partners and user groups to translate the current health and social care challenges in assessing, reducing and managing frailty into a set of clear and actionable requirements that will inspire novel research and enable engineers to develop appropriate healthcare robotics solutions.We will also establish best practice guidelines for informing the design and development of healthcare robotics solutions, addressing assessment, reduction and self-management of frailty and end-user interactions for people with age-related sensory, physical and cognitive impairments. This will help the UK develop cross-cutting research capabilities in ethical design, evaluation and production of healthcare robots.To enable the design and evaluation of healthcare robotic solutions we will utilize the consortium's living lab test beds. These include the Assisted Living Studio in the Bristol Robotics Lab covering the South West, the National Robotarium in Edinburgh together with the Health Innovation South East Scotland's Midlothian test bed, the Advanced Wellbeing Research Centre and HomeLab in Sheffield, and the Robot House at the University of Hertfordshire covering the South East. Up to 10 funded feasibility studies will drive co-designed, high quality research that will lead to technologies capable of transforming community health and care.The network will also establish safety and regulatory requirements to ensure that healthcare robotic solutions can be easily deployed and integrated as part of community-based frailty care packages.In addition, we will identify gaps in the skills set of carers and therapists that might prevent them from using robotic solutions effectively and inform the development of training content to address these gaps. This will foster the regulatory, political and commercial environments and the workforce skills needed to make the UK a global leader in the use of robotics to support the government's ageing society grand challenge.

The EMERGENCE network aims to create a sustainable eco-system of researchers, businesses, end-users, health and social care commissioners and practitioners, policy makers and regulatory bodies in order to build knowledge and capability needed to enable healthcare robots to support people living with frailty in the community.By adopting a person-centred approach to developing healthcare robotics technology we seek to improve the quality of life and independence of older people at risk of, and living with脆弱，同时有助于控制螺旋的护理费用。脆弱的人有不同的需求，但是通常，在与出行，自我保健和家庭生活，社会活动和人际关系有关的活动中需要帮助。可以通过支持人们更好地自我管理脆弱的状况，改善个人和医疗保健从业人员之间的信息和数据流，从而更加及时的干预措施来增强医疗保健。提供更高的成本效益和高质量的支持是政府的优先问题。社区中缺乏足够的社会护理规定和削减资金增加了已经过度紧张的医疗保健系统的压力。面对不断萎缩的护理人员，在正在进行的Covid-19危机期间尤其暴露了提供必要的护理质量的能力差距。医疗机器人越来越多地被认为是帮助人们改善独立生活的解决方案，可以通过提供身体援助以及提供与患者数据集成的复杂自我管理和医疗保健任务的能力。出现网络将促进和促进医疗保健机器人解决方案的创新研究和开发，以便它们可以实现为实用和可持续的解决方案，从而在社区中提供个性化，负担得起的和包容性的健康和社会护理，我们将与我们的临床伙伴和用户群体合作。将在临床伙伴和用户群体中工作，以使当前的健康和社会护理在评估和管理范围内的挑战，以降低和管理范围的范围，以降低和管理范围的范围，以促进范围的范围，以降低和管理的范围，以降低和管理范围的范围，以促进范围的范围，以使其成为范围的范围，以降低和稳定的范围，以降低和管理范围的范围。适当的医疗机器人解决方案。我们还将建立最佳实践指南，以告知医疗机器人解决方案的设计和开发，以解决与年龄相关的感觉，身体和认知障碍的人的脆弱和最终用户互动的评估，减少和自我管理。这将有助于英国发展医疗机器人的道德设计，评估和生产方面的横切研究能力。为了实现医疗保健机器人解决方案的设计和评估，我们将利用财团的生活实验室测试床。其中包括覆盖西南的布里斯托尔机器人实验室的辅助生活工作室，涵盖了爱丁堡的国家机器人，以及苏格兰东南苏格兰的Midlothian测试床，高级福利研究中心和Sheffield的Homelab以及赫特福德大学覆盖东南部的机器人之家。 Up to 10 funded feasibility studies will drive co-designed, high quality research that will lead to technologies capable of transforming community health and care.The network will also establish safety and regulatory requirements to ensure that healthcare robotic solutions can be easily deployed and integrated as part of community-based frailty care packages.In addition, we will identify gaps in the skills set of carers and therapists that might prevent them from using robotic solutions effectively and inform the development of training content to address这些差距。这将促进监管，政治和商业环境以及使英国成为使用机器人技术来支持政府老龄化社会盛大挑战的全球领导者所需的劳动力技能。

项目成果

期刊论文数量（8）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Neuromorphic Computing for Interactive Robotics: A Systematic Review

DOI：
10.1109/access.2022.3219440
发表时间：
2022-01-01
期刊：
IEEE ACCESS
影响因子：
3.9
作者：
Aitsam，Muhammad;Davies，Sergio;Di Nuovo，Alessandro
通讯作者：
Di Nuovo，Alessandro

Meeting sustainable development goals via robotics and autonomous systems.

DOI：
10.1038/s41467-022-31150-5
发表时间：
2022-06-21
期刊：
NATURE COMMUNICATIONS
影响因子：
16.6
作者：
Guenat, Solene;Purnell, Phil;Davies, Zoe G.;Nawrath, Maximilian;Stringer, Lindsay C.;Babu, Giridhara Rathnaiah;Balasubramanian, Muniyandi;Ballantyne, Erica E. F.;Bylappa, Bhuvana Kolar;Chen, Bei;De Jager, Peta;Del Prete, Andrea;Di Nuovo, Alessandro;Ehi-Eromosele, Cyril O.;Eskandari Torbaghan, Mehran;Evans, Karl L.;Fraundorfer, Markus;Haouas, Wissem;Izunobi, Josephat U.;Jauregui-Correa, Juan Carlos;Kaddouh, Bilal Y.;Lewycka, Sonia;MacIntosh, Ana C.;Mady, Christine;Maple, Carsten;Mhiret, Worku N.;Mohammed-Amin, Rozhen Kamal;Olawole, Olukunle Charles;Oluseyi, Temilola;Orfila, Caroline;Ossola, Alessandro;Pfeifer, Marion;Pridmore, Tony;Rijal, Moti L.;Rega-Brodsky, Christine C.;Robertson, Ian D.;Rogers, Christopher D. F.;Rouge, Charles;Rumaney, Maryam B.;Seeletso, Mmabaledi K.;Shaqura, Mohammed Z.;Suresh, L. M.;Sweeting, Martin N.;Taylor Buck, Nick;Ukwuru, M. U.;Verbeek, Thomas;Voss, Hinrich;Wadud, Zia;Wang, Xinjun;Winn, Neil;Dallimer, Martin
通讯作者：
Dallimer, Martin

Addressing Potential Pitfalls of SAR Assistance on the Aging Population

解决特区援助人口老龄化的潜在陷阱