QIAN Can, HUANG Ya, HUANG Jian, TANG Zhenzhen, SU Huaiyu. Visualization Analysis of Annual Differentiated Performance Data of Hospital Clinical Pharmacists Based on R Language[J]. Chinese Journal of Modern Applied Pharmacy, 2023, 40(21): 3027-3032. DOI: 10.13748/j.cnki.issn1007-7693.20221093
    Citation: QIAN Can, HUANG Ya, HUANG Jian, TANG Zhenzhen, SU Huaiyu. Visualization Analysis of Annual Differentiated Performance Data of Hospital Clinical Pharmacists Based on R Language[J]. Chinese Journal of Modern Applied Pharmacy, 2023, 40(21): 3027-3032. DOI: 10.13748/j.cnki.issn1007-7693.20221093

    Visualization Analysis of Annual Differentiated Performance Data of Hospital Clinical Pharmacists Based on R Language

    • OBJECTIVE To conduct visual analysis of the annual differentiated performance data of clinical pharmacists by using R language to find out the shortcomings and promote the progress of clinical pharmacists and department development. METHODS The weight scores of clinical pharmacists’ performance assessment in 2021 were collected, and R language was used to draw rectangular tree diagram, violin case diagram and Sankey diagram for data visualization analysis. RESULTS The basic work of clinical pharmacy department accounted for the largest weight, followed by clinical affairs, pharmaceutical quality control affairs and pioneering affairs in the middle of the weight, while teaching, scientific research weight was insufficient. There were also great differences in the weight of clinical pharmacists. Among the 8 clinical pharmacists, 3 focused on basic, 3 on all-round development, 1 on clinical, and the work weight of 1 needed to be comprehensively improved. CONCLUSION R language visualization can be used to analyze the weight composition of clinical pharmacy department, which is convenient to formulate the direction of department rectification and promote the improvement of clinical pharmacists team level.
    • loading

    Catalog

      Turn off MathJax
      Article Contents

      /

      DownLoad:  Full-Size Img  PowerPoint
      Return
      Return