Patient transfers during hospitalization: An examination of intra facility patient locations using network analysis

Josh Sadowski, Mark Luetkemeyer, Areeba Kara
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引用次数: 0

Abstract

Patient movements following hospitalization are difficult to track. In a large Midwestern academic institution, we analyzed data using network statistics for patients discharged by the hospitalist service between June 2016-June 2018. We retrieved all major patient movements logged in the patient throughput management system following admission. The 4,869 patients discharged by the hospitalist service during the study period experienced 6,832 movements. The mean was 1.4 movements per patient while the maximum was 8. Most patients (72.3%) moved once following hospitalization while 27.7% moved more than once. The predominant movement type was downgrades which comprised 51.8% (n = 3,543) of all movements. Lateral movements were the next most common (25.9%, n = 1,771). Network statistics revealed progressive care units to be central to patient flow across the system. Transfers following hospitalization are common. Visualizing these transfers using network statistics may provide valuable insights to enhance patient safety.
住院期间的患者转移:使用网络分析对设施内患者位置的检查
病人住院后的活动很难追踪。在中西部一家大型学术机构中,我们使用网络统计分析了2016年6月至2018年6月期间由医院服务出院的患者的数据。我们检索了入院后患者吞吐量管理系统中记录的所有主要患者动作。在研究期间,4,869名由医院服务出院的患者经历了6,832次运动。平均为1.4次,最大为8次。大多数患者(72.3%)在住院后移动一次,27.7%的患者在住院后移动一次以上。主要的运动类型是降级,占所有运动的51.8% (n = 3543)。其次是侧移(25.9%,n = 1,771)。网络统计数据显示,渐进式护理单位是整个系统中患者流动的中心。住院后转院很常见。使用网络统计数据可视化这些转移可能为提高患者安全提供有价值的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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