Study on the development and application of an evaluation management information system for new nurses

doi:10.3761/j.issn.0254-1769.2024.08.012

Abstract

Abstract:

Objective To develop an evaluation management information system for new nurses（EMISNN），and to explore the effectiveness of its application in the training of new nurses. Methods A research and development team was set up to design and build the EMISNN. EMISNN is a system which comprises 3 main modules，namely data integration module，query statistics module and strategy generation module. From August 2021 to April 2023，the new nurses of Qinhuangdao city，a tertiary A hospital who joined in 2022 were selected as an experimental group，and the new nurses joined in 2021 were selected as a control group by the convenience sampling method. The experimental group adopted the data analysis and strategies provided by the EMISNN to guide the training of the theory and practice of surgery，while the control group adopted the routine training plan，and then the performance of the 2 groups nurses in the theory test of surgical nursing and their satisfaction with the training were compared. Results After training，the experimental group was（73.51±8.51） points，while the control group was（69.14±8.01） points，and the difference between the 2 groups was statistically significant（t=3.112，P=0.002）. The training satisfaction of the experimental group was（34.53±2.80） points，while the control group was（32.42±2.70） points，and the difference between the 2 groups was statistically significant（t=4.486，P<0.001）. Conclusion The application of the EMISNN conduces to the precision and intelligence of new nurses trainings，and it is also conducive to enhancing the satisfaction of new nurses with the training and improves the training quality.

Key words: New Nurses, Artificial Intelligence, Assessment, Training, Evaluation, Nursing Administration Research

摘要：

目的开发新入职护士考核评估管理信息系统，探讨其在新入职护士培训中的应用效果。方法组建研发小组，构建新入职护士考核评估管理信息系统，该系统包括数据整合模块、查询统计模块和策略生成模块3个部分。于2021年8月—2023年4月，采用便利抽样法，选取秦皇岛市某三级甲等医院2022年新入职护士作为试验组，2021年新入职护士作为对照组。试验组采取基于新入职护士考核评估管理信息系统提供的数据分析及策略指导外科学理论与实践培训；对照组采取常规培训管理方案，比较两组外科学护理理论考核成绩及培训满意度。结果培训后，试验组外科学护理理论考核成绩为（73.51±8.51）分，对照组为（69.14±8.01）分，两组比较，差异具有统计学意义（t=3.112，P=0.002）；试验组培训满意度测评问卷得分为（34.53±2.80）分，对照组为（32.42±2.70）分，两组比较，差异具有统计学意义（t=4.486，P<0.001）。结论应用新入职护士考核评估管理信息系统有助于新入职护士培训的精准化、智能化，提升了新入职护士对培训的满意度，提高了培训质量。

关键词: 新入职护士, 人工智能, 考核, 培训, 评估, 护理管理研究

SONG Xiaoan, LU Xingquan, MA Jing, WANG Yafan, WANG Xiaohua, REN Hong, GAO Jun. Study on the development and application of an evaluation management information system for new nurses[J]. Chinese Journal of Nursing, 2024, 59(8): 974-979.

宋晓安, 卢兴泉, 马静, 王亚凡, 王晓华, 任红, 高俊. 新入职护士考核评估管理信息系统的开发与应用[J]. 中华护理杂志, 2024, 59(8): 974-979.

Figures/Tables 3

References 22

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