Dialysis resource allocation in critical care: the impact of the COVID-19 pandemic and the promise of big data analytics.
Dialysis resource allocation in critical care: the impact of the COVID-19 pandemic and the promise of big data analytics.
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DOI：
10.3389/fneph.2023.1266967
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发表时间：
2023
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2019冠状病毒病（COVID-19）大流行给重症监护病房（ICU）带来了前所未有的负担。由于需求增加而供应有限，包括透析机在内的重症护理资源变得稀缺，这促使人们开展基于价值的成本效益分析，并对资源进行合理分配，以提供最高质量的患者护理。入住ICU的COVID-19患者中有很大一部分需要透析，这给透析机、护理人员、技术人员等资源以及透析滤器、透析液和抗凝药物等消耗品带来了巨大负担。基于人工智能（AI）的大数据分析如今正应用于多种数据驱动的医疗服务中，包括优化医疗系统的利用。众多因素会影响对重症患者透析资源的分配，尤其是在突发公共卫生事件期间，但目前，资源分配是依据少数传统因素来决定的。能够综合考虑医院系统内所有相关医疗信息以及患者治疗结果的智能分析，有助于改善资源分配、提高成本效益和护理质量。在这篇综述中，我们探讨了重症护理中透析资源的利用情况、COVID-19大流行的影响，以及人工智能如何在未来突发公共卫生事件中提高资源利用率。这一领域的研究应被列为重要的优先事项。
The COVID-19 pandemic resulted in an unprecedented burden on intensive care units (ICUs). With increased demands and limited supply, critical care resources, including dialysis machines, became scarce, leading to the undertaking of value-based cost-effectiveness analyses and the rationing of resources to deliver patient care of the highest quality. A high proportion of COVID-19 patients admitted to the ICU required dialysis, resulting in a major burden on resources such as dialysis machines, nursing staff, technicians, and consumables such as dialysis filters and solutions and anticoagulation medications. Artificial intelligence (AI)-based big data analytics are now being utilized in multiple data-driven healthcare services, including the optimization of healthcare system utilization. Numerous factors can impact dialysis resource allocation to critically ill patients, especially during public health emergencies, but currently, resource allocation is determined using a small number of traditional factors. Smart analytics that take into account all the relevant healthcare information in the hospital system and patient outcomes can lead to improved resource allocation, cost-effectiveness, and quality of care. In this review, we discuss dialysis resource utilization in critical care, the impact of the COVID-19 pandemic, and how AI can improve resource utilization in future public health emergencies. Research in this area should be an important priority.