• 国家药监局综合司 国家卫生健康委办公厅
  • 国家药监局综合司 国家卫生健康委办公厅

人工智能学习APP结合思维导图对培养儿科实习生临床思维能力的效果研究

通讯作者: 韩彤妍, tongyanhan@qq.com
DOI:10.12201/bmr.202412.00023
声明:预印本系统所发表的论文仅用于最新科研成果的交流与共享,未经同行评议,因此不建议直接应用于指导临床实践。

DOI:Study on the combination of artificial intelligence and mind mapping in cultivating clinical thinking among interns

Corresponding author: Han Tongyan, tongyanhan@qq.com
  • 摘要:人工智能(Artificial Intelligence ,AI)及思维导图在各个领域广泛应用,但在医学教育方面应用较少,医学教育仍然依赖传统的讲座和实践体验式学习,进展缓慢。我院2019年建立了临床医学教学辅助数据库平台,即人工智能学习APP,可模拟临床问病史、查体及诊治的经过,可针对各个阶段的医学生进行学习及考核、跟踪,内有大量儿科临床典型病例,结合标准思维导图进行学习并自主绘制,是临床学习的有效补充。本研究对2020年11月至2022年11月我院儿科实习的八年制实习同学作为研究对象,随机分组,探讨AI结合思维导图对于实习医学生儿科思维能力的培养。

    关键词: 人工智能;AI思维导图;临床思维实习生;医学教育

     

    Abstract: Objective: To explore the combination of artificial intelligence and mind mapping in cultivating the thinking ability of interns.Method: Eight year interns who entered our pediatric department for internships from November 2020 to November 2022 were included as research subjects and randomly divided into three groups: APP group (Group A, application of artificial intelligence APP group), mind mapping group (Group M, application of mind mapping group), and a combination of the two groups (Group M+A, combination of artificial intelligence APP and mind mapping group). At the time of graduation, the learning effects of different groups of medical students were evaluated through interview case analysis and theoretical exams Thinking ability. Survey students feelings and effects on three forms of learning through a questionnaire.Result: A total of 110 medical students were included, including 35 in Group A, 39 in Group M, and 36 in Group M+A. By comparing the exam scores of the three groups, it was found that compared to Group A and Group M, the exam scores of Group A+M were significantly higher, with statistical significance (p=0.014, p=0.001). However, there was no statistically significant difference between Group A and Group M. A questionnaire survey shows that compared to a separate group of artificial intelligence apps and mind map learning, the combination of the two can better improve self-learning ability, enhance understanding of knowledge, establish a knowledge system, and improve memory.Conclusion: The combination of artificial intelligence apps and mind maps can improve the thinking ability of medical students. In future medical student teaching, the combination of artificial intelligence apps and mind maps can continue to be applied for clinical learning.

    Key words: Artificial intelligence; AI; Mind mapping; Clinical thinking;Trainee; Medical education

    提交时间:2024-12-07

    版权声明:作者本人独立拥有该论文的版权,预印本系统仅拥有论文的永久保存权利。任何人未经允许不得重复使用。
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    谢俊祥, 张琳. 国内外医疗人工智能战略及细分领域现状分析. 2020. doi: 10.12201/bmr.202005.00243

    李明. 医生对医疗人工智能使用意愿性以及影响因素分析. 2023. doi: 10.12201/bmr.202312.00020

    马傲, 葛小玲. 人工智能大模型在医疗健康领域应用的研究. 2024. doi: 10.12201/bmr.202408.00039

  • 序号 提交日期 编号 操作
    1 2024-06-24

    bmr.202412.00023V1

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黄春玲, 韩彤妍, 张娟. 人工智能学习APP结合思维导图对培养儿科实习生临床思维能力的效果研究. 2024. biomedRxiv.202412.00023

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