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OSPREH: Optimising Speed, Productivity, Resilience and Efficiency in Healthcare

OSPREH: Optimising Speed, Productivity, Resilience and Efficiency in Healthcare
OSPREH:优化医疗保健领域的速度、生产力、弹性和效率
批准号:
10004560
负责人:
金额:
$24.98万
依托单位:
依托单位国家:
英国
项目类别:
Collaborative R&D
财政年份:
2021
资助国家:
英国
项目状态:
已结题
起止时间:
2021 至 --

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中文摘要
翻译
OSPREH代表 **O** 优化 **S** 速度、**P** 生产率、**R** 可靠性和 **E** 效率。NHS是一个非同质组织,必须与外部制药、供应和测试实验室进行对接。医院之间的资源共享,以及与外部供应商和服务提供商的优化、快速、可靠和优先的接口,可以提高系统在面临重大事件的突然影响时的应变能力。典型案例包括共享个人防护设备库存,血液病理学的实验室测试,以及向无法在当地生产细胞毒性药物的医院紧急提供癌症治疗。OSPREH的愿景是将最先进的无人机与机器人技术和人工智能方法相结合,以加快不同医院和外部机构之间的互联。这一愿景的关键是开发和评估符合人体工程学的SMART无人机垫控制中心,高度自动化以处理无人机运输; OSPREH还将执行SMART项目跟踪(分配优先级和截止日期),AI提供协调无人机物流和医院工作流程的建议。
英文摘要
OSPREH stands for **O**ptimising **S**peed, **P**roductivity, **R**esilience and **E**fficiency in **H**ealthcareThe NHS is a non homogenous organisation that must interface with external pharmaceutical, supplies and testing laboratories. The sharing of resources between hospitals and optimised, rapid, reliable and prioritised interfacing with external suppliers and service providers could increase the resilience of the system when faced with the sudden impact of a dramatic event.Typical cases include the sharing of PPE stocks, the laboratory testing of blood pathology and the urgent supply of cancer treatments to hospitals unable to make the cytotoxic drugs locally.In each of these cases we can show that the NHS is not resilient, lacking speed of service, reliability and efficient productivity.OSPREH's vision is to apply state of the art aerial drones in combination with robotics and AI methods to speed up the interconnect between different hospitals and external bodies.Key to this vision is the development and evaluation of ergonomic SMART drone pad control centres, highly automated to deal with drone transport; specifically addressing in bound outbound flight safety and security, drone maintenance, drone garaging, as well as origin and endpoint parcel/item handling.In addition to this, OSPREH will perform SMART tracking of items (assigning priority and deadlines), the AI providing recommendations coordinating both drone logistics and hospital work flow.
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