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

• 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

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.

EMERGENCE网络旨在建立一个由研究人员、企业、最终用户、卫生和社会保健专员和从业人员组成的可持续生态系统，政策制定者和监管机构，以建立所需的知识和能力，使医疗机器人，以支持人们生活在社区的脆弱。通过采用一个人-以中心的方法来开发医疗机器人技术，我们寻求提高生活质量和独立的老年人的风险，并与脆弱的生活，同时帮助控制不断上升的护理费用。身体虚弱的人有不同的需求，但通常需要在与行动、自我照顾和家庭生活、社会活动和关系有关的活动中提供援助。通过支持人们更好地自我管理因虚弱而导致的状况，以及改善个人和医疗保健从业者之间的信息和数据流，从而实现更及时的干预，可以增强医疗保健。为老龄化人口提供具有成本效益的高质量支持是政府的优先事项。社区中缺乏足够的社会保健服务，资金削减，增加了本已不堪重负的医疗保健系统的压力。面对不断萎缩的护理人员队伍，提供必要质量的护理的能力差距在持续的新冠肺炎危机中尤其暴露出来。医疗机器人越来越被认为是帮助人们改善独立生活的解决方案，它能够提供物理帮助，并在与患者数据集成时支持复杂的自我管理和医疗任务。EMERGENCE网络将促进和促进医疗机器人解决方案的创新研究和开发，使其成为实用和可持续的解决方案，为社区提供个性化，负担得起和包容性的健康和社会护理。我们将与我们的临床合作伙伴和用户群体合作，将当前的健康和社会护理挑战转化为评估，减少和管理脆弱性成为一组明确和可操作的要求，这将激发新的研究，使工程师能够开发适当的医疗机器人解决方案。我们还将建立最佳实践指南，为医疗机器人解决方案的设计和开发提供信息，解决评估，减少和自我管理的脆弱性和最终用户的互动与年龄相关的感官，身体和认知障碍的人。这将有助于英国在医疗机器人的伦理设计、评估和生产方面发展跨领域的研究能力。为了实现医疗机器人解决方案的设计和评估，我们将利用该联盟的活体实验室测试床。其中包括覆盖西南部的布里斯托机器人实验室的辅助生活工作室，爱丁堡的国家机器人馆以及苏格兰东南部的健康创新试验台，谢菲尔德的高级福祉研究中心和家庭实验室，以及赫特福德大学的机器人之家。多达10项资助的可行性研究将推动共同设计的高质量研究，这些研究将导致能够改变社区卫生和护理的技术。该网络还将制定安全和监管要求，以确保医疗机器人解决方案可以轻松部署和集成，作为基于社区的脆弱护理包的一部分。此外，我们将确定护理人员和治疗师技能方面的差距，这些差距可能会阻止他们有效地使用机器人解决方案，并为培训内容的开发提供信息，以解决这些差距。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支持政府老龄化社会重大挑战的全球领导者所需的劳动力技能。

项目成果

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

• DOI: 10.48550/arxiv.2303.14055
• 发表时间: 2023
• 作者: Nault E

Digital twins for human-assistive robot teams in ambient assisted living

环境辅助生活中人类辅助机器人团队的数字双胞胎

• DOI: 10.1145/3597512.3597520
• 发表时间: 2023
• 作者: Chen J

Assistive Multimodal Robotic System (AMRSys): Security and Privacy Issues, Challenges, and Possible Solutions

辅助多模式机器人系统 (AMRSys)：安全和隐私问题、挑战和可能的解决方案

• DOI: 10.3390/app12042174
• 发表时间: 2022
• 期刊: Applied Sciences
• 作者: Marchang J