Si Sheng-Li, You Xiao-Yue, Liu Hu-Chen, Huang Jia
School of Economics and Management, Tongji University, Shanghai 200092, China.
Institute for Manufacturing, University of Cambridge, Cambridge CB3 0FS, UK.
Int J Environ Res Public Health. 2017 Aug 19;14(8):934. doi: 10.3390/ijerph14080934.
Performance analysis is an important way for hospitals to achieve higher efficiency and effectiveness in providing services to their customers. The performance of the healthcare system can be measured by many indicators, but it is difficult to improve them simultaneously due to the limited resources. A feasible way is to identify the central and influential indicators to improve healthcare performance in a stepwise manner. In this paper, we propose a hybrid multiple criteria decision making (MCDM) approach to identify key performance indicators (KPIs) for holistic hospital management. First, through integrating evidential reasoning approach and interval 2-tuple linguistic variables, various assessments of performance indicators provided by healthcare experts are modeled. Then, the decision making trial and evaluation laboratory (DEMATEL) technique is adopted to build an interactive network and visualize the causal relationships between the performance indicators. Finally, an empirical case study is provided to demonstrate the proposed approach for improving the efficiency of healthcare management. The results show that "accidents/adverse events", "nosocomial infection", ''incidents/errors", "number of operations/procedures" are significant influential indicators. Also, the indicators of "length of stay", "bed occupancy" and "financial measures" play important roles in performance evaluation of the healthcare organization. The proposed decision making approach could be considered as a reference for healthcare administrators to enhance the performance of their healthcare institutions.
绩效分析是医院在为客户提供服务时实现更高效率和效能的重要途径。医疗系统的绩效可以通过许多指标来衡量，但由于资源有限，很难同时提高这些指标。一种可行的方法是识别核心和有影响力的指标，以逐步提高医疗绩效。在本文中，我们提出了一种混合多准则决策（MCDM）方法，用于识别整体医院管理的关键绩效指标（KPI）。首先，通过整合证据推理方法和区间二元语言变量，对医疗专家提供的绩效指标的各种评估进行建模。然后，采用决策试验与评价实验室（DEMATEL）技术构建交互网络，并可视化绩效指标之间的因果关系。最后，通过一个实证案例研究来证明所提出的提高医疗管理效率的方法。结果表明，“事故/不良事件”、“医院感染”、“事件/错误”、“手术/操作数量”是显著的有影响力指标。此外，“住院时间”、“床位占用率”和“财务指标”在医疗机构的绩效评估中也起着重要作用。所提出的决策方法可为医疗管理人员提高其医疗机构的绩效提供参考。
