摘要目的:采用Bootstrap数据包络法对医院科研投入产出效率进行综合评价，为构建更科学的科研绩效评估体系，优化医院学科发展策略提供参考。方法:以样本医院37个学科作为决策单元，选取科研资金和科研人员作为投入指标，成果奖项、科研项目、专利转化、论文专著和学术声誉作为产出指标，采用Bootstrap数据包络法对各学科的科研投入产出效率水平进行评价。结果:传统DEA模型的综合效率、纯技术效率均值分别为0.858和0.909，经Bootstrap纠偏后下降至0.804和0.853，纠偏前后效率值差异经检验均有统计学意义( P<0.001)。参评37个学科中综合效率在0.9~1.0的有11个，在0.8~0.9之间的有14个，在0.6~0.8之间的有7个，小于0.6的有5个。有3个学科为规模收益递增，16个学科为规模收益稳定，18个学科为规模收益递减。不同类型学科之间差异的比较均无统计学意义( P>0.05)。其中4个学科的科研人员投入有冗余，有10个学科存在产出不足的情况。 结论:Bootstrap数据包络法用于医院科研投入产出效率评价所得结果较传统方法准确，具有良好的推广应用价值，医院科研管理部门及各学科可根据其结果优化其学科发展策略，提出有针对性的改进措施。

abstractsObjective:To comprehensively evaluate the input and output efficiency of scientific research in hospital by bootstrap data envelopment analysis, to provide useful information for optimization of scientific performance appraisal and hospital discipline development strategy.Methods:37 disciplines were included as decision making unit, input variables include research expenditure and number of research personnel, and output variables include number of science and technology awards, research projects, patent transfer, paper, composition, and academic influence. The bootstrap-DEA method was used to evaluate the efficiency of all DMUs.Results:The main of overall efficiency and pure technical efficiency in basic DEA model are 0.858 and 0.909, but are 0.804 and 0.853 in Bootstrap DEA model, the differences between two models have statistically significant ( P<0.001). There are 11 DMUs with an overall efficiency in 0.9~1.0, 14 DMUs in 0.8~0.9, 7 DMUs in 0.6~0.8, 5 DMUs lower than 0.6. There are 3 DMUs are increasing return to scale, 16 DMUs are constant return to scale, 18 DMUs are decreasing return to scale. No statistically significance was observed between different types of DMUs( P>0.05). There are 4 DMUs reveal input slacks in number of research staffs and 10 DMUs reveal output slacks. Conclusions:The results of Bootstrap-DEA are more accurate than the basic methods for the evaluation of the input-output efficiency of hospital scientific research, so that it is worth popularizing and applying. According to the evaluation results, the hospital management department and disciplines could optimize their discipline development strategies and put forward targeted improvement measurements.