通过生成性人工智能工具提高护理教育中的文化能力
Eda Ozkara San1, Fidelindo Lim1
1NYU Rory Meyers College of Nursing, New York City, USA.
概括
生成型人工智能 (AI) 可以通过促进反射学习和偏见识别来提高护理教育的文化能力. 周到的整合,与道德保障,可以加强文化谦卑和批判性思维在未来的护士.
科学领域:
- 护理教育 护理教育
- 医疗保健中的人工智能
- 文化能力 文化能力
背景情况:
- 文化能力对于护理中以患者为中心的护理至关重要.
- 生成型人工智能 (AI) 具有提高文化能力护理教育的潜力.
- 人工智能可以促进护理学生的反射学习和偏见识别.
研究的目的:
- 审查关于人工智能在护理教育中的应用,以提高文化能力的文献.
- 探索人工智能如何与已建立的文化能力框架保持一致.
- 在这个教育背景下,确定特定的AI工具及其潜在的好处和挑战.
主要方法:
- 对人工智能在护理教育中的应用进行文献综述.
- 对人工智能工具与文化能力框架相关的分析 (莱宁纳的日出模型,杰弗里斯的文化能力和信心模型).
- 例如包括人工智能生成的案例研究,偏见评估工具,翻译服务和模拟的患者互动.
主要成果:
- 人工智能工具可以在混合学习模型中补充传统的教学和临床经验.
- 人工智能提供交互和个性化的学习机会,以增强沟通和道德照顾.
- 挑战包括确保人工智能的准确性,减轻固有的偏见,防止过度依赖可能损害批判性思维.
结论:
- 人工智能的战略整合可以增强护理学生的文化谦卑和批判性思维.
- 教师发展,道德准则和跨学科合作对于有效的AI实施至关重要.
- 保持同情心和人类判断力必须与人工智能工具一起保持护理教育的核心地位.
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