揭开潜在安全威胁的神秘面纱

D. Yadin
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引用次数: 0

摘要

根据ECRI年度“2020年十大卫生技术危害”报告,医疗和牙科诊所的无菌处理错误被列为第三大危害。其他专家也对消毒过程提出了类似的担忧。例如,世卫组织和国际医学和生物工程联合会临床工程司合作举办了一系列网络研讨会,与国际专家就COVID-19相关关键主题交流知识。最近的一次网络研讨会讨论了低收入和中等收入国家对COVID-19医疗设备进行去污和消毒的关键挑战。在网络研讨会期间,与会者询问了评估感染传播是否由用于抗击该疾病的技术工具传播的方法。如何安全、快速地对关键的救生呼吸设备进行消毒,并将其从一个病人转移到另一个病人?世卫组织/IFMBE网络研讨会指出,“工程师和感染控制专业人员似乎在不同的领域工作”。必须拆除这种孤岛,因为医疗技术在提供保健服务方面是不可或缺的。医疗设备的消毒和灭菌是医疗机构的关键问题,他们需要认真考虑社会技术系统的相互作用。年度“十大卫生技术危害”报告基于回顾性研究,但COVID-19安全管理需要处理实时数据的能力和专家的投入,以预测可能发生的风险以及如何部署计划以维持安全的医疗保健环境。
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Unravelling the magic of latent safety threats
Sterile processing errors in medical and dental offices are ranked the third highest hazard according to the annual ECRI ‘Top 10 Health Technology Hazards’ 2020 report. Other experts have raised similar concerns with sterilisation processes. For example, the WHO and the Clinical Engineering Division of International Federation of Medical and Biological Engineering (IFMBE) have partnered to provide a series of webinars with international experts exchanging knowledge on COVID-19 related critical topics. A recent webinar addressed the critical challenge of decontamination and disinfection of COVID-19 medical equipment in low-income and middle-income countries. During the webinar, participants asked about methodologies to assess whether the transmission of infection is borne by technological tools used to fight the disease. How can critical lifesaving breathing equipment be safely and quickly sterilised and moved from one patient to the next? The WHO/IFMBE webinar2 stated that ‘engineers and infection control professionals seem to be working in different silos’. Such silos must be dismantled because medical technology is indispensable in the provisioning of healthcare services. Disinfection and sterilisation of medical equipment are key concerns for healthcare organisations, and they require serious consideration of sociotechnical system interactions. The annual ‘top 10 Health Technology Hazards report’ is based on retrospective studies, yet management of COVID-19 safety requires capacity to process real- time data and the input of experts to predict where risks may occur and how to deploy plans to maintain a safe healthcare environment.
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