人工智能在护理临床教育中的整合:增强迷你CEX模型
Xiao-Jun Wang1, Li-Juan Song2, Xue-Ping Jiao2
1The Second People's Hospital of Yangquan City, Yangquan, People's Republic of China.
Journal of multidisciplinary healthcare
|November 13, 2025
概括
人工智能 (AI) 通过微型临床评估练习 (Mini-CEX) 提高临床绩效评估的客观性,从而增强护理教育. 人工智能集成导致了更快的技能获取,并通过个性化反增加了学生的参与度.
科学领域:
- 护理教育 护理教育
- 医疗保健中的人工智能
- 临床技能评估 临床技能评估
背景情况:
- 传统的临床教育在提供客观和及时的反方面面临挑战.
- 迷你临床评估练习 (Mini-CEX) 是评估护理学生临床表现的关键工具.
- 提高Mini-CEX的客观性和反质量对于有效的护理教育至关重要.
研究的目的:
- 研究人工智能 (AI) 在护理临床教育中的整合.
- 评估人工智能在改进小型临床评估练习 (Mini-CEX) 的客观性和反质量的作用.
主要方法:
- 一个混合方法的方法与140本科护理学生.
- 随机对照与干预组设计.
- 干预组使用人工智能辅助的Mini-CEX进行自动化绩效分析和反生成.
主要成果:
- 由人工智能支持的Mini-CEX显著提高了临床评估的一致性和客观性.
- 人工智能组的学习者表现出更快的技术技能获取和更多的参与.
- 人工智能提供了自动化绩效分析和结构化,个性化的反报告.
结论:
- 将AI集成到Mini-CEX中可以提高评估的客观性,并提供以学习者为中心的反.
- 人工智能补充了人类的指导,提高了临床评估的标准化和有效性.
- 在护理教育中,人工智能驱动的反促进了高效的技能发展和参与.
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