Efficiency analysis of Surgical services departments: Application of Data Envelopment Analysis

M. Ibrahim
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Abstract

This paper measures the overall, technical and scale efficiencies of public hospitals surgical services and explores strategies to improve efficiency. Composite Data Envelopment Analysis (DEA) models that accommodating ratio variables are developed to measure efficiencies, and offer improvement strategies. Results show that overstayed patients can be minimized by 9% and 6% for overall and technical efficiency to operate efficiently. Decreasing the scale of the surgical service department will not improve efficiency. In conclusion, the number of hospitalized-discharged patients showed to be the most contributing factor to efficiency for outputs, and patient turnover rate among the input. It is recommended that inpatient throughput be improved and patient overstay be minimized, also, the operational and personal management should be enhanced to utilize resources.
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外科科室效率分析:数据包络分析的应用
本文衡量了公立医院外科服务的整体效率、技术效率和规模效率,并探讨了提高效率的策略。综合数据包络分析(DEA)模型,适应比率变量,以衡量效率,并提供改进策略。结果表明,在整体效率和技术效率方面,可以将逾期患者减少9%和6%。缩小外科服务部门的规模并不能提高效率。综上所述,住院出院患者数量是产出效率的最大影响因素,而患者流动率是投入效率的最大影响因素。建议提高住院病人吞吐量,尽量减少病人逾期住院,并加强业务管理和人员管理,以充分利用资源。
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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