建模I阶段的麻醉后护理单元,多个目的地之间的患者运输时间
Paul Cover1, Franklin Dexter, Yasser Ms El-Hattab
1From the Department of Anesthesia, University of Iowa, Iowa City, Iowa.
Anesthesia and analgesia
|March 4, 2025
概括
麻醉后护理单位 (PACU) 患者运输时间因目的地而异,影响工作流程. 精确的人员配置需要分析运输总时间,而不仅仅是排放计数,以优化资源分配.
科学领域:
- 麻醉学 麻醉学
- 医疗保健运营管理 医疗保健运营管理
- 医疗保健服务研究 医疗服务研究
背景情况:
- 关于从麻醉后护理单位 (PACU) 输送患者时间的数据有限,尽管已知对手术室和工作流程效率的影响.
- 现有的知识主要集中在PACU放电时间上,而忽视了运输时间的资源消耗.
研究的目的:
- 通过使用现实数据从PACU量化患者运输时间.
- 确定影响运输时间和延误的因素.
- 评估用于预测运输工作量和优化人员配置的方法.
主要方法:
- 实施了Epic的Rover系统,在22个月内跟踪22,846辆PACU运输.
- 分析运输计数和时间,按目的地,日间时间和周日划分.
- 使用统计测试 (χ2,Kruskal-Wallis,Shapiro-Wilk) 和Bland-Altman图表来评估运输时间和工作负载预测的准确性.
主要成果:
- 运输时间因目的地而异,第二阶段恢复速度最快 (P ≤ .0001).
- 运输量和总时间在时间段和目的地之间有所不同 (P < .0001),但周日并不显著.
- 大约50%的周期出现延迟,连续出现大量延迟 (P < .0001).
- 基于放电计数和平均时间的工作负载预测不足,每4小时的时间与实际时间差别为-1.04至+1.05小时.
结论:
- PACU的运输时间取决于目的地;优先考虑较短的运输,特别是到第二阶段的PACU,当多个患者等待运输时.
- 仅仅通过PACU排放分布来估计运输工作量,对于精确的人员配置是不够的.
- 准确的人员配置应利用特定工作日期间的总运输时间的平均值和标准偏差.
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