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1.
Chinese Journal of Medical Science Research Management ; (4): 99-104, 2023.
Article in Chinese | WPRIM | ID: wpr-995838

ABSTRACT

Objective:The cluster analysis method was applied to evaluate the scientific research performance evaluation index system of departments in an obstetrics and gynecology hospital, and analyze the weaknesses of scientific research work of various departments, to provide a basis for the improvement of scientific research strength of departments.Methods:On the basis of the scientific research performance evaluation index system of departments in the obstetrics and gynecology hospital, the indicators and weights of the system were optimized through expert consultation, and the scientific research values from 2019 to 2021 were brought into the optimized scientific research performance evaluation index system to calculate the scientific research scores of each department, and then the cluster analysis method was applied to evaluate the index system.Results:Before and after the optimization of the scientific research performance evaluation index system of departments, the conformity with the discipline classification was 76.00% and 96.67% respectively ( P=0.039). In total of 30 departments were clustered into 4 categories: excellent (7), good (7), medium (4), and concerned (12). The average score of the total scientific research performance evaluation indicators of the 4 categories of departments was 15.022. The highest average score was for papers and monographs, and the lowest was for awards. Conclusions:This study applied the cluster analysis method to evaluate the scientific research performance evaluation index system of departments in the obstetrics and gynecology hospital and replaced quantitative indicators with quality indicators. It will optimize and improve the hospital hierarchical management methods, provide data support and classified guidance for the scientific research development of different categories of departments, and provide a reference basis for hospitals to formulate scientific research management policies such as achievement transformation, award, industry standard guidelines, etc.

2.
Chinese Journal of Medical Science Research Management ; (4): 332-336, 2021.
Article in Chinese | WPRIM | ID: wpr-912622

ABSTRACT

Objective:Data envelopment analysis (DEA) was applied to evaluate the evaluation index system of scientific research performance of hospital departments.Methods:Based on the three-level index assignment of the constructed evaluation index system of scientific research performance of hospital departments, the relevant data of departments are calculated. Scientific research projects, talent team and scientific research platform are taken as input indexes, papers, awards, patents, published monographs/papers, professional standards and guidelines, as well as achievements transformation are taken as output indexes, and departments are taken as evaluation units. Data envelopment analysis software is used to evaluate departments Results of scientific research performance evaluation, redundant input and insufficient output.Results:The average comprehensive technical efficiency of 25 departments is 0.404 8, the average pure technical efficiency is 0.837 1, and the average scale efficiency is 0.428 3. Among them, 7 departments are generally efficiency, 17 departments obtained pure technical efficiency, 7 departments obtained scale efficiency.Conclusions:The analysis results can provide a reference for the scientific research development of the department. On the basis of building a reasonable talent echelon and assure the sufficient scientific research time, the hospital further optimizes and improves the scientific research performance evaluation index system and hierarchical management method of the Department.

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