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

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:
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
项目状态:
未结题
起止时间:
2022 至 --

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中文摘要
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英文摘要
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.
期刊论文(8)
专著(0)
科研奖励(0)
会议论文
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
期刊:
影响因子: --
作者: [Nault E]
通讯作者: 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
期刊:
影响因子: --
作者: [Chen J]
通讯作者: 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
影响因子: --
作者: [Marchang J]
通讯作者: Marchang J
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