摘要
基于大数据管理系统对天津市某专科医院2015—2021年人员结构变化趋势进行分析,并提出相应政策建议。采用描述性统计和对比分析的方法,对该医院人力资源数据库的人员总量、人员类别、专业分布、学历及职称构成等进行统计分析,结果表明:2015—2021年医院正式职工总数呈正向增长趋势,派遣制职工总数不断减少,年均增长率为-0.11%;2015—2021年医院卫生技术人员占比不断上升,截至2021年底,占比达到81.53%;2015—2021年医院硕士研究生数量增长最快,年均增长率为8.36%;2015—2021年医院正高职称未有明显变化,副高级职称人数由2015年的86人增加至2021年的109人,年均增长率为4.06%。据此建议:推动医院信息化建设实践,完善人员智慧管理系统;强化人才队伍建设,促进医院可持续发展;增加护理人员数量,优化护理人员职称结构;重视卫生管理人才的培养。
Based on the big data management system,this paper analyzes the change trend of personnel structure of a special hospital in Tianjin from 2015 to 2021,and puts forward corresponding policy suggestions.Using the methods of descriptive statistics and comparative analysis,the total number of personnel,personnel category,professional distribution,educational background and professional title composition of the human resources database of the hospital are statistically analyzed.From 2015 to 2021,the total number of formal staff in the hospital showed a positive growth trend,while the total number of dispatched staff continued to decrease,with an average annual growth rate of-0.11;The proportion of hospital health technicians continued to rise,reaching 81.53%by the end of 2021;The number of hospital postgraduates grew fastest,with an average annual growth rate of 8.36%;There was no significant change in the number of senior professional titles,and the number of deputy senior professional titles increased from 86 in 2015 to 109 in 2021,with an average annual growth rate of 4.06%.Accordingly,it is recommended to promote the practice of hospital informatization construction and improve the personnel intelligent management system;to strengthen the construction of talent team to promote the sustainable development of the hospital;to increase the number of nurses and optimize the structure of their professional titles;and to attach importance to the training of health management personnel.
作者
王紫娟
吴薇薇
张盛
赵欣
WANG Zijuan;WU Weiwei;ZHANG Sheng;ZHAO Xin(Tianjin Stomatological Hospital,Tianjin 300041,China)
出处
《天津科技》
2023年第4期14-17,共4页
Tianjin Science & Technology
关键词
大数据
专科医院
人员结构
big data
special hospital
personnel structure