门诊血液采集访问的时间序列分析:波动模式和护理人员分配优化
Shuangshuang Xing1, Xiarong Du2, Yan Hu1
1Department of Hematology, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China.
International journal of nursing sciences
|October 10, 2025
概括
这项研究利用时间序列分析优化了门诊血液采集中心的工作人员,提高了效率和患者满意度. 基于访问波动的动态调度显著减少了等待时间和增加了瘤手术量.
科学领域:
- 医疗保健管理的管理
- 运营研究 运营研究
- 护理管理的护理管理.
背景情况:
- 门诊血液采集中心在管理患者数量波动和优化护理人员分配方面面临挑战.
- 资源分配效率低下可能会导致患者等待时间增加和满意度下降.
研究的目的:
- 为了探索门诊血液采集中心的参观波动特征,使用时间序列分析.
- 根据已识别的波动模式,优化护理劳动力分配.
- 评估动态调度模型对效率和患者满意度的应用效应.
主要方法:
- 提取了回顾性时间序列数据 (2020年1月至2023年12月) 关于每小时的血液采集量和等待时间.
- 时间序列分析,包括季节性分解和自回归集成移动平均线 (ARIMA) 模型,用于模式识别和预测.
- 通过比较分析,在实施动态调度模型之前和之后评估了效率和满意度.
主要成果:
- 参观量表现出周期性,在Q2/Q3达到峰值,每天在早上8-9点和下午2-3点之间. 在ARIMA模型中显示出很好的匹配 (R2=0.692).
- 在高峰时段调整的员工人数增加了每小时的骨干切除术,从289.74增加到327.53 (P<0.01).
- 等待时间从5.79分钟减少到4.01分钟 (P<0.01),患者满意度从92.7%上升到97.3% (P<0.05).
结论:
- 时间序列分析有效地识别出门诊血液采集访问波动模式.
- 基于预测波动的动态护理人员分配优化了资源利用和服务效率.
- 这种方法提高了门诊采血服务的运营性能和患者满意度.
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