R&D for a Virtual Ward Sensing Device for High-Risk Chronic Patients

右

• 批准号: 10032888
• 金额: $ 50.05万
• 依托单位: M2JN LIMITED
• 依托单位国家: 英国
• 项目类别: Investment Accelerator
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=10032888
• 关键词: R&D; Virtual; Ward; Sensing; Device

WarnerPatch is a medical device for non-invasive remote monitoring (virtual ward). It measures tissue health to predict disease worsening using a specifically designed sensing method and developed AI-algorithm. While being used at the hospital or at home, early degrading symptoms are identified so clinicians can give preventive care to improve patient outcomes and reduce care costs.We are focusing on diabetes and vascular diseases (i.e. peripheral vascular disease (PVD)), which can be the result of, or cause, heart attack, stroke, general infection, ulceration or gangrene, potentially leading to amputation and death.Worldwide, 200M people are at risk of developing this condition accounting for 13M in EU27, slightly more in the USA and 5M in the UK. Amputation is performed on 600K patients a year, with 50% death rate within two years after amputation and 30% of unnecessary amputation due to late recognition of disease-worsening.During the pandemic and with the long COVID-19 syndrome, the number of patients requiring emergency hospital care has increased by 60%, significantly stretching the current remaining resources.The minimum viable product development was finalised with its AI-algorithm and tested/validated in a simulated environment.The goal of this project is to finalise the R&D of the physical product under regulatory requirement while improving the product manufacturability including recycling/refurbishment processes of non-critical parts. At the end of the project, we will be able to start the certification processes for commercial activities. We will continue working with the Leeds-Teaching-Hospital-NHS-Trust (LTHT) and NHS-Arden-and-Greater-East-Midlands-Commissioning-Support-Unit (AGEM) for a more detailed data-pack development with health-economics (budget-impact and cost-effectiveness).Using our device will improve patient outcomes while reducing care costs by:1. Quickly identifying patients at risk of developing life threatening conditions, to treat patients earlier and stop the illness from worsening: reducing hospital ICU and A&E admission/visits.2. Helping clinicians stratifying patients for closer monitoring.3. Assisting in social distancing of fragile and high-risk patients with continuous remote monitoring.4. Assisting in the safe early discharge of low-risk patients whilst monitoring their condition status remotely; reducing bed-days and staff burden, and, freeing-up capacity in clinical facilities.

WarnerPatch是一款用于无创远程监控（虚拟病房）的医疗设备。它使用专门设计的传感方法和开发的人工智能算法来测量组织健康状况，以预测疾病恶化。在医院或家里使用时，可以识别早期退化症状，以便临床医生可以提供预防性护理，以改善患者的治疗效果并降低护理成本。我们重点关注糖尿病和血管疾病（即外周血管疾病 (PVD)），这些疾病可能是心脏病发作、中风、一般感染、溃疡或坏疽的结果或原因，可能导致截肢和 全球范围内，有 2 亿人面临罹患这种疾病的风险，其中欧盟 27 国中有 1300 万人，美国略多，英国有 500 万人。每年对 60 万名患者进行截肢手术，截肢后两年内的死亡率为 50%，并且由于较晚认识到疾病恶化而导致不必要的截肢。在大流行期间和长期的 COVID-19 综合症中，需要紧急医院护理的患者数量增加了 60%，极大地耗尽了当前的剩余资源。最小可行产品开发通过其 AI 算法最终确定，并在 2019 年进行了测试/验证。 该项目的目标是在监管要求下完成物理产品的研发，同时提高产品的可制造性，包括非关键部件的回收/翻新过程。项目结束时，我们将能够启动商业活动的认证流程。我们将继续与利兹教学医院 NHS-Trust (LTHT) 和 NHS-Arden-and-Greater-East-Midlands-Commissioning-Support-Unit (AGEM) 合作，开发更详细的健康经济数据包（预算影响和成本效益）。使用我们的设备将改善患者治疗效果，同时降低护理成本：1.快速识别有危及生命状况风险的患者，尽早治疗患者并阻止病情恶化：减少医院 ICU 和 A&E 入院/就诊。2．帮助临床医生对患者进行分层以便进行更密切的监测。3．通过持续远程监测协助脆弱和高危患者保持社交距离。4。协助低风险患者安全及早出院，同时远程监测其病情状况；减少床位天数和工作人员负担，并释放临床设施的能力。