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Portable remote vital signs monitoring and AI-based risk analysis platform for use in care facilities for vulnerable patient assessment in response to the covid-19 pandemic.

Portable remote vital signs monitoring and AI-based risk analysis platform for use in care facilities for vulnerable patient assessment in response to the covid-19 pandemic.
便携式远程生命体征监测和基于人工智能的风险分析平台,用于护理机构中评估弱势患者,以应对 covid-19 大流行。
批准号:
63014
负责人:
金额:
$6.36万
依托单位:
依托单位国家:
英国
项目类别:
Feasibility Studies
财政年份:
2020
资助国家:
英国
项目状态:
已结题
起止时间:
2020 至 --

项目摘要

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中文摘要
翻译
新型冠状病毒对现有基础疾病的人和老年人构成最大的威胁,严格的社交距离协议为他们提供了最好的感染保护。NHS一直在让这些患者出院,以保护这些社会成员免受病毒的影响,并释放关键资源,治疗重症患者所需的ICU容量翻了一番(NHSE,2020)。然而,至关重要的是,NHS保持监测这些公民(包括那些有新冠肺炎症状的人)健康状况的能力,以确保他们的整体健康在这个充满挑战的时期不会受到缺乏面对面医疗服务的影响。为了减轻NHS和全球医疗保健系统的压力,远程生命体征监测系统有机会允许医疗保健专业人员监测低风险患者,而无需冒进一步住院的风险(感染的机会和临床结果的减少)。然而,目前市场上没有提供能够替代老年人的医院观察系统的综合监测套件的系统,Rinicare旨在测试将两种新颖但相关的技术结合起来的可行性;便携式生命体征监测系统和基于AI的健康风险分析软件,这两种技术从一开始就被设计为兼容性。该项目将加速开发与当前新型冠状病毒疫情直接相关的用例系统。该技术克服了目前的采用障碍,提供了一个全面的便携式生命体征监测套件,能够以具有成本效益的价格为某些危及生命的情况提供高级预警。随着市场需求的验证(通过与医疗保健提供者和最终用户的初步讨论),并建立在两项创新技术的基础上,该项目将开发一个早期原型来验证概念。这种新型解决方案有可能彻底改变医疗保健系统中非生命威胁患者的治疗方式,使医院能够远程监控患者,而不会影响临床护理,并确保他们的最佳利益得到照顾(降低感染风险和改善舒适度)。Rinicare旨在部署这项技术,直接针对NHS和护理委托组(CCG)以及希望为其居民提供额外支持的护理院。
英文摘要
Covid-19 poses the greatest threat to people with existing underlying conditions and the elderly, where strict social distancing protocols offer the best protection from infection. The NHS has been discharging these patients from hospital care in an effort to protect these members of society from the impact of the virus and to free up critical resources, with a doubling of ICU capacity required to treat critically ill Covid-19 patients (NHSE, 2020). However, it is vitally important that the NHS maintains the ability to monitor the health of these citizens (including those with symptoms of Covid-19) to ensure that their overall health is not impacted by the lack of face-to-face healthcare provision in this challenging period. To alleviate pressure on the NHS and global healthcare systems, there is an opportunity for remote vital sign monitoring systems that allow healthcare professionals to monitor low-risk patients without the need of risking further hospitalisation (chance for infection and reduced clinical outcomes).However, there are currently no systems on the market that offer a comprehensive monitoring suite capable of replacing hospital observations systems in elderly and vulnerable patients with no-life-threatening conditions and at a cost-effective price point.Rinicare aims to test the feasibility of combing two novel but associated technologies; a portable vital sign monitoring system and AI-based health risk analysis software which have been designed for compatibility from the outset. This project will accelerate the development of a system for a use-case directly relevant to the current Covid-19 pandemic. The technology overcomes current adoption barriers, offering a comprehensive and portable vital sign monitoring suite with the ability to provide advanced warning for certain life-threatening conditions at a cost-effective price point.With market need validated (through preliminary discussions with healthcare providers and end-users) and building on two innovative technologies, this project will develop an early prototype to validate concepts. This novel solution has the potential to completely revolutionise the way in which non-life-threatened patients are treated in the healthcare system, allowing hospitals to monitor patients remotely without compromising on clinical care and ensuring that their best interest is looked after (lower risk of infection and comfort improvements). Rinicare aims to deploy this technology, directly targeting both the NHS and Care Commissioning Groups (CCGs) as well as care homes who are looking to provide their residents with additional support.
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Identification and quantification of primary phytoplankton functional types in the global oceans from hyperspectral ocean color remote sensing
  • 批准号:
    --
  • 项目类别:
    --
  • 资助金额:
    160万元
  • 批准年份:
    2022
  • 负责人:
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  • 依托单位:
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  • 批准号:
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  • 项目类别:
    面上项目
  • 资助金额:
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  • 批准年份:
    2010
  • 负责人:
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  • 依托单位: