AI-Powered Wound Infection Indicator

人工智能驱动的伤口感染指示器

• 批准号: 10034606
• 金额: $ 20.27万
• 依托单位: ISLACARE LTD
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 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=10034606
• 关键词: AI; Powered; Wound; Infection; Indicator

Isla is a secure platform that allows for the secure capture, sharing and storage of photos, videos and forms between patients, carers and clinicians. This enriched data can be used to create a visual patient record, showing condition over time, and interactive forms add data to further inform clinical decision-making. The Isla platform is already assisting clinicians at scale and is popular with patients (more than 77,000 submissions in the last 12 months). The platform has been designed alongside clinicians and patients, and has enabled Isla to achieve a market-leading submission rate of 81% - bringing convenience to many patients who have found it difficult to engage with technology in the past. Isla interfaces with numerous widely-used Electronic Patient Records (EPRs) to ensure seamless data transfer and ease-of-use for NHS Trusts. As a result Isla has led to decreased time to treatment, increased patient satisfaction and optimised triage and monitoring processes.Isla has a wide variety of use-cases that are being used and explored and is developing innovative tools employing Artificial Intelligence (AI) to further assist clinicians and patients. One exciting project is the AI-Powered Wound Infection Indicator, applying machine learning and computer vision to images of healing wounds and assessing them for early indicators of infection. 3.8 million NHS 'patients with a wound' require wound monitoring, either from post-operative or acute wounds, representing 7% of the UK's adult population. 1 in every 16 surgical patients will experience a Surgical Site Infection, accounting for 16% of total healthcare-associated infections and are estimated to cost the NHS £1 billion per year. This AI tool will allow clinicians to triage patients, identifying the need for early intervention and expediting treatment to those who need it, and to reduce unnecessary face-to-face appointments (which wastes clinical and patient time) for those that do not.Through the NHS Long Term Plan and net zero commitment, the service is targeting a 33% reduction in face-to-face outpatient appointments by 2024\. To do so, the service requires innovative remote monitoring solutions that can integrate with, rather than recreate, management systems.Isla's innovative project and problem-solving approach will deliver a technical product that can assist clinicians, improve patient care and reduce resourcing strain, allowing technologies of the future to take their place in resolving issues from the past.

Isla是一个安全的平台，允许患者，护理人员和临床医生之间安全地捕获，共享和存储照片，视频和表格。这种丰富的数据可用于创建可视化的患者记录，显示随时间变化的状况，交互式表单添加数据以进一步通知临床决策。Isla平台已经在大规模地帮助临床医生，并受到患者的欢迎（在过去12个月内提交了超过77，000份申请）。该平台与临床医生和患者一起设计，使Isla实现了81%的市场领先提交率，为许多过去难以接触技术的患者带来了便利。Isla与众多广泛使用的电子病历（EPR）接口，以确保NHS Trust的无缝数据传输和易用性。因此，Isla缩短了治疗时间，提高了患者满意度，优化了分诊和监测流程。Isla拥有各种各样的用例，正在使用和探索，并正在开发采用人工智能（AI）的创新工具，以进一步帮助临床医生和患者。一个令人兴奋的项目是AI驱动的伤口感染指示器，将机器学习和计算机视觉应用于愈合伤口的图像，并评估它们的早期感染指标。3.8 2000万NHS“伤口患者”需要伤口监测，无论是手术后还是急性伤口，占英国成年人口的7%。每16名手术患者中就有1人会经历手术部位感染，占医疗保健相关感染总数的16%，估计每年花费NHS 10亿英镑。这项人工智能工具将允许临床医生对患者进行分类，确定需要早期干预并加快对需要的人的治疗，并减少不必要的面对面预约（浪费临床和患者时间）。通过NHS长期计划和净零承诺，该服务的目标是到2024年减少33%的面对面门诊预约。要做到这一点，该服务需要创新的远程监控解决方案，可以与管理系统集成，而不是重新创建。Isla的创新项目和解决问题的方法将提供一种技术产品，可以帮助临床医生，改善患者护理和减少资源紧张，使未来的技术在解决过去的问题中占据一席之地。