ABSTRACT
Objective:Established a Super-DEA model to calculate the efficiency of scientific research work of the hospital departments, statistically compared it with the evaluation results of scientific research work in discipline construction, and proposed improvement suggestions.Methods:Considering the characteristics of the input and output indicators, non-radial super-SBM model from the DEA methods was established to calculate the scientific research efficiency of 47 departments of the hospital in 2019, two independent sample t-tests were used to compare the differences in subject construction scores between effective and ineffective departments with super-efficiency values.Results:The average scientific research efficiency of 47 departments in the hospital was 0.70, with the highest efficiency being the scientific research department and the lowest being the internal medicine department; there were 18 DEA-effective departments and 29 DEA-ineffective departments; among the DEA-ineffective departments, the average human resource input was 1.13 people, the redundant scientific research funds is 854, 800 yuan on average; compared with the evaluation results of scientific research work in the discipline construction in 2019, the ranking of the same discipline is significantly different, the t-test results showed that there was no significant difference in the subject construction scores between DEA effective and ineffective departments. Using this model to calculate the data in 2021, the results show that DEAs in 21 departments are effective, with an effective rate of 42.86%.Conclusions:There is a big difference in the scientific research efficiency of the hospital departments, and the overall efficiency need to be improved; it should be improved according to the reasons for the lack of scientific research efficiency; the discipline construction evaluation system has not considered the input and other deficiencies, it is recommended to optimize the evaluation system to improve fairness and rationality. The results preliminarily show that the model can play a positive guiding role in the scientific research work of the department.