摘要目的:基于数据包络分析方法建立医院临床科室运行效率和资源配置的测算模型，为医院优化资源配置提供参考。方法:提取2021年1—12月某三级甲等公立医院32个临床科室住院患者的住院时间和护理等级等信息，对科室运行效率和投入冗余进行数据包络分析。将医师、护士和床位数量作为投入指标，运用K-means算法将患者按照医疗工作负荷水平分为3类，以3类患者数量为产出指标，建立BCC模型1，评价各临床科室投入资源转化为专业人力价值的效率；同时，以收治患者数量与医疗收入为产出指标，建立BCC模型2，评价各临床科室投入资源转化为经济收益的效率。结果:共纳入38 147例住院患者。从科室运行效率来看，14个科室在BCC模型1中总效率为1.000，10个科室在BCC模型2中总效率为1.000，8个科室在2个模型中的总效率均为1.000;从科室投入冗余来看，6个科室在BCC模型1中投入冗余较高，11个科室在BCC模型2中投入冗余较高，4个科室在2个模型中均存在较高的投入冗余。结论:本研究构建的测算模型能有效评价科室运行效率和投入冗余，有利于识别工作负荷较高且经济收益较低的科室，为医院合理配置科室医疗资源提供参考。

abstractsObjective:To establish a calculation model for the operational efficiency and resource allocation of clinical departments in hospitals, for references for hospitals to optimize resource allocation.Methods:The informations including hospitalization time, nursing grade, etc. of inpatients admitted by 32 clinical departments in a tertiary public hospital from January to December in 2021 were extracted. A data envelopment analysis method was conducted on the operation efficiency and input edundancy of the departments. The K-means algorithm was used to divide inpatients into 3 categories according to the level of medical workload. Taking the numbers of doctors, nurses and beds as the input indicators, and the numbers of patients in the 3 categories as the output indicators, a BCC model 1 was established to evaluate the efficiency of resources invested by clinical departments into professional human value. At the same time, a BCC model 2 was established with the total number of patients admitted and medical income as the output indicators to evaluate the efficiency of resources invested by clinical departments into economic benefits.Results:A total of 38 147 inpatients were enrolled. There were 14 departments with overall technical efficiency (OTE) =1.000 in the BCC model 1, 10 departments with OTE=1.000 in the BCC model 2, and 8 departments with OTE=1.000 in the 2 models. As for the input redundancy, 6 departments had high input redundancy in the BCC model 1, 11 departments had high input redundancy in the BCC model 2, and 4 departments had high input redundancy in both models.Conclusions:The model established by this study could effectively evaluate the operational efficiency and input redundancy of clinical departments, identify departments with high workload and low economic benefits, and provide reference for the rational allocation of medical resources in hospitals.