人工智能支持的案例分析方法对护理学生临床能力的影响:混合设计研究
Ayser Döner1, Özlem Ceyhan, Sultan Taşci
1Author Affiliations: Research Assistant (Dr Döner), Semra and Vefa Küçük Faculty of Health Sciences, Nevsehir Haci Bektas Veli University, Nevsehir, Türkiye; Associate Professor (Dr Ceyhan) and Professor (Dr Taşci), Department of Internal Nursing, Erciyes University Faculty of Health Sciences, Kayseri, Türkiye.
Nurse educator
|December 24, 2025
概括
人工智能 (AI) 病例分析与传统方法相比,显著提高了护理学生的知识,诊断技能和病例管理表现. 人工智能工具为护理教育课程提供了有价值的整合.
科学领域:
- 护理教育 护理教育
- 医疗保健中的人工智能
- 临床能力发展 临床能力发展
背景情况:
- 人工智能 (AI) 的快速发展需要更新护理教育的课程.
- 整合人工智能工具对于为未来的护士准备不断变化的医疗保健环境至关重要.
研究的目的:
- 评估AI支持的病例分析对护理学生临床能力的影响.
- 将人工智能驱动的教学方法与传统护理方法的有效性进行比较.
主要方法:
- 采用混合方法设计,随机将学生分配到传统教学,案例研究或AI组.
- 人工智能案例演示是使用像ChatGPT,Sora和Invideo AI这样的工具开发的.
- 数据收集包括知识测试,绩效评估和定性访谈.
主要成果:
- 人工智能组在知识测试中取得了明显更高的分数,并在确定护理诊断方面提高了能力.
- 与对照组相比,AI组的护理学生表现出更好的病例管理表现.
- 定性发现证实了定量结果,支持人工智能在护理教育中的有效性.
结论:
- 人工智能支持的病例分析有效地提高了护理学生的知识,诊断技能和病例管理能力.
- 将人工智能工具集成到护理课程中是一个可行的和有益的策略.
- 人工智能增强临床能力,为学生准备应对现代医疗保健挑战.
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