Analysis of medical service efficiency of clinical departments based on data envelopment analysis-BCC model / 中华医院管理杂志

ABSTRACT

Objective:To analyze the output efficiency of medical services in clinical departments, so as to provide a breakthrough point for rational allocation of resources and improvement of service efficiency.Methods:The classic BCC model of data envelopment analysis(DEA) was used to evaluate the medical service efficiency of 44 clinical departments in a hospital, and the comprehensive efficiency, pure technical efficiency, scale efficiency and scale benefits were analyzed. The input indicators were the number of medical staff, medical costs and the number of beds at the end of the period. The output indicators were diagnosis-related group(DRG) indicators, including the number of DRG groups, total weight, case mix index, cost consumption index, time consumption index and mortality rate of low-risk group.Results:The average values of comprehensive efficiency, pure technical efficiency and scale efficiency of the whole hospital in 2018 were 0.897, 0.920 and 0.975 respectively. DEA was relatively effective in 16 departments(36%), weakly effective in 7 departments(16%), and ineffective in 21 departments(48%). In the case of constant output, the redundancy rates of the actual beds, medical staff and medical business expenditure of non DEA effective departments were 17.3%, 20.3% and 17.1% respectively; under the same input, the output of non DEA effective departments was insufficient.Conclusions:The comprehensive efficiency of medical services in this hospital is ideal, but the proportion of non DEA effective departments is relatively high. It is suggested to improve the efficiency of medical services by optimizing resource input, strengthening discipline construction, and strengthening cost control.