根据工作负载评估资源分配:对中国一级三级公立医院临床部门的数据包分析研究
Xiaoxiong Hao1, Lei Han1, Danyang Zheng2
1Department of Health Service, General Hospital of Central Theater Command, Wuhan, 430070, People's Republic of China.
BMC health services research
|July 28, 2023
概括
这项研究开发了一种基于工作负载的数据包裹分析 (DEA) 模型,以评估中国公共医院的临床部门效率. 新模型为优化资源配置和人力资源战略提供了一种可行的方法.
科学领域:
- 医疗保健服务研究 医疗服务研究
- 医院管理 医院管理
- 运营研究 运营研究
背景情况:
- 中国的公共医院正在从扩张转向效率驱动的发展.
- 需要精细的管理策略来优化资源分配.
- 评估临床部门的效率对于有效的医院管理至关重要.
研究的目的:
- 评估中国一家三级公立医院临床部门的效率.
- 分析各部门之间的医院资源分配.
- 在精细管理的背景下,为医院管理提供参考.
主要方法:
- 利用来自32个临床部门 (38,147名住院患者) 的住院数据.
- 根据工作负载指标,应用K-means集群来分组不均的患者.
- 开发了一个以输入为导向的BCC模型 (基于工作负载的DEA) 和一个控制DEA模型进行比较.
主要成果:
- 将患者分为三个类别进行分组,可以提高解释性.
- 14个部门使用基于工作负载的DEA模型,10个部门使用控制模型,8个部门使用这两种模型均有效.
- 基于工作负载的DEA模型更好地评估了特殊部门和规模扩张收入.
结论:
- 提出的基于工作负载的效率评估对于不均的部门是可行的.
- 这种方法为量化医疗人力资源提供了一种新的方法.
- 它为优化公共医院的资源布局和人力战略提供了实际意义.
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