Protecting the NHS' staff: AI medical surveillance to measure viral exposure.
Protecting the NHS' staff: AI medical surveillance to measure viral exposure.
批准号:
61744
负责人:
金额:
$9.36万
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 --
中文摘要
我们打算开发一个自主的、基于人工智能的医疗监测系统,实时测量和模拟一线医务人员的病毒暴露情况。为了捕获这些数据,我们将开发一种新颖的可穿戴设备,独特适用于医院环境,提供物联网风格的数据,由可靠的商业现成产品捕获,这些产品已被重新利用,再次以创新的方式。在操作创新中,可以测量员工所面临的风险,并将风险降至最低:在核工业中成功运行的工作流程。这些信息和技术将使该国能够为下一波感染、SARS-CoV-2突变或人畜共患疾病挑战卫生服务做好准备。-------------------------------------------------------------------------------- 现在底层技术开发和工作在实验室4所示,在系统的各个组件在实验室条件下运作。我们未来的意图是将系统发展到TRL 6,按照速度,这样它就能在现实生活中部署。我们的策略由三个部分组成,即:快速开发一个V2.0,低成本,强大,功能齐全的可穿戴设备版本,并结合从构建原型中吸取的教训。其次,快速转移到在良性临床环境中测试该V2.0设备,以在相当长的时间内测试其运行情况。第三,开发设备的最小功能版本,为超低成本的可穿戴设备量身定制。在完成这些链后,该系统将在正确的成本范围内,并证明其有效性,从而成功地推向市场。
英文摘要
We intend to develop an autonomous, AI based, medical surveillance system that measures and models the viral exposure of front line medical staff in real time. To capture this data we shall develop a novel wearable device, uniquely suited to a hospital environment, to provide IoT style data, captured by reliable, commercial off the shelf products that have been repurposed, again in a innovative way. In an operational innovation, the risk that the staff are exposed to, may then be measured and this risk minimised: a workflow successfully in operation in the nuclear industry. This information and technology will allow the country to prepare for the next infective wave, SARS-CoV-2 mutation or zoonotic disease to challenge the health service. -------------------------------------------------------------------------------- The underlying technologies are now developed and shown to work well at TRL 4, in which the individual components of the system operate together in laboratory conditions. Our future intention is to develop the system to TRL 6, at pace, so that it is capable of deployment in real life. Our strategy is composed of three strands, namely: quickly develop a V2.0, low cost, robust, fully featured, version of the wearable device, incorporating the lesson learnt from building the prototype. Secondly, quickly move to testing this V2.0 device in a benign clinical setting to test it in operation over a significant duration. Thirdly, develop a minimally featured version of the device, tailored to an ultra low cost wearable. On completion of these strands, the system will be within the correct costings and proven efficacy to be introduced to the market successfully.
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