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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
新冠肺炎对有潜在疾病的人和老年人构成最大的威胁,在这些人中,严格的社交距离协议提供了最好的保护,使其免受感染。英国国民健康保险制度一直在让这些患者脱离医院护理,以努力保护这些社会成员免受病毒的影响,并释放关键资源,将治疗危重新冠肺炎患者所需的ICU能力增加一倍(卫生与公众服务部,2020年)。然而,至关重要的是,国民保健制度保持监测这些公民(包括那些有新冠肺炎症状的人)的健康的能力,以确保他们的整体健康不会因为在这个充满挑战的时期缺乏面对面的医疗保健服务而受到影响。为了减轻NHS和全球医疗系统的压力,远程生命体征监测系统有机会让医疗专业人员监测低风险患者,而不需要进一步住院(感染机会和临床结果减少)。但目前市场上还没有系统能够提供全面的监测套件,能够以经济实惠的价格在没有生命危险的老年和脆弱患者中取代医院观察系统。Rinicare旨在测试结合两种新的但相关的技术的可行性:便携式生命体征监测系统和基于人工智能的健康风险分析软件,这两种技术从一开始就为兼容而设计。该项目将加速开发与当前新冠肺炎大流行直接相关的用例系统。该技术克服了目前的采用障碍,提供了一种全面且便携的生命体征监测套件,能够以经济实惠的价格对某些危及生命的情况提供高级警告。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。这一新颖的解决方案有可能彻底改变医疗系统中没有生命威胁的患者的治疗方式,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性)。Rinicare的目标是部署这项技术,直接针对NHS和护理调试小组(CCGs)以及希望为其居民提供额外支持的疗养院。
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:
    41076114
  • 项目类别:
    面上项目
  • 资助金额:
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  • 批准年份:
    2010
  • 负责人:
    王海黎
  • 依托单位: