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首页> 外文会议>Annual Conference and Expo of the Institute of Industrial Engineers >A Social Network Analysis-based Approach to Evaluate Workflow and Quality in a Pediatric Intensive Care Unit
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A Social Network Analysis-based Approach to Evaluate Workflow and Quality in a Pediatric Intensive Care Unit

机译：基于社会网络分析的方法评估儿科重症监护病房的工作流程和质量

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Pediatric Intensive Care Units (PICUs) provide care for children at imminent risk of death. Coordination of physicians and nurses is critical to ensure the provision of quality care. In addition, clinicians' workflow, especially for nurses, is complex and fragmented, and therefore, it should be carefully assessed. In this research, we propose a Social Network Analysis-based approach combined with Quality Improvement (QI) principles to provide a framework to assess workflow and identify current factors that could affect clinical efficiency and nurse satisfaction. The tools provided were valuable to assess and visualize complexity and fragmentation of nursing workflow. According to the analysis conducted nurses spend on average 21% of their time in patient monitoring, 24% in collaboration, 27% in documentation, 10% in transit, 7% in medication, and 11% in miscellaneous activities. Network graphs were developed to provide visualization of workflow inefficiencies and to better understand relationships and connections between tasks. These results were utilized in the development of QI tools to investigate root causes of clinical inefficiencies and nursing dissatisfaction in more detail.
机译：儿科重症监护病房（PICUs）为即将死亡的儿童提供照料。医师和护士的协调对于确保提供优质护理至关重要。此外，临床医生的工作流程（特别是对于护士而言）是复杂且分散的，因此应仔细评估。在这项研究中，我们提出了一种基于社会网络分析的方法，并结合了质量改进（QI）原则，以提供一个框架来评估工作流程并确定可能影响临床效率和护士满意度的当前因素。提供的工具对于评估和可视化护理工作流程的复杂性和分散性非常有价值。根据进行的分析，护士平均将21％的时间用于患者监护，24％的协作，27％的文档，10％的运输，7％的药物以及11％的其他活动。开发了网络图以提供工作流程效率低下的可视化并更好地了解任务之间的关系和联系。这些结果被用于QI工具的开发，以更详细地调查临床效率低下和护理不满意的根本原因。

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