Hierarchical clustering analysis application in research performance appraisal of university affiliated hospital
10.3760/cma.j.issn.1006-1924.2019.04.003
- VernacularTitle:层次聚类分析在高校附属医院科研绩效评估中的应用
- Author:
Danlu ZHANG
1
;
Ziye ZHOU
;
Ce ZHANG
;
Peng JIANG
Author Information
1. 大连医科大学附属第二医院学科建设与科研管理部 116023
- Keywords:
Hierarchical clustering;
University affiliated hospital;
Research performance
- From:
Chinese Journal of Medical Science Research Management
2019;32(4):250-254
- CountryChina
- Language:Chinese
-
Abstract:
Objective The research aims to optimize the hospital research performance appraisal ,clarify the scientific characteristics and possible shortages of different clinic departments in various types ,to enhance the effectiveness of research performance appraisal .Methods Descriptive statistics were used to generalize hospital research performance appraisal in 2017 . Hierarchical clustering was used to cluster and analyze performance appraisal characteristics of 75 clinic departments .Results SCI papers (405) ,National projects (181) and National core journal papers (106) took 75 .2％ of total average score .The op-timal solution of the cluster was 6 types for 75 departments and the dendrogram illustrated significant varieties among the 6 types .Six departments' types were academic-conference-oriented ,national-paper-oriented ,SCI-paper-oriented ,advanced-pro-ject-oriented ,provincial/horizontal-project-oriented and attending-conference-oriented .The percentages of the oriented indica-tors that took their total average scores were 59 .4％ ,42 .0％ ,66 .7％ ,57 .0％ ,61 .8％ ,52 .3％ .Conclusions Compared with K-means method ,the results of hierarchical clustering equipped with better characteristics and interpretative power .Research performance appraisal has been further optimized .Departments in different types showed significant characteristics and weak-nesses ,which provides managers with effective guidance on countermeasures .
