整合人工智能到执业护士教育:教导下一代执业护士的策略
1University of Texas at Tyler, Tyler, Texas.
概括
执业护士 (NP) 教育必须整合人工智能 (AI) 识字能力,为毕业生准备人工智能增强的医疗保健. 这确保NP可以批判性地使用AI来改善患者护理和道德决策.
科学领域:
- 护理教育 护理教育
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
背景情况:
- 随着人工智能 (AI) 的整合,医疗保健领域正在迅速发展.
- 执业护士 (NP) 需要新的能力来有效地利用AI在临床实践中.
- 现有的NP课程可能无法充分解决人工智能素养及其影响.
研究的目的:
- 检查将AI素养纳入执业护士 (NP) 教育的必要性.
- 提出将人工智能概念整合到NP课程和教学方法中的战略.
- 解决AI在NP培训中成功实施AI的关键问题.
主要方法:
- 审查当前在医疗保健中的AI整合趋势.
- 对嵌入人工智能概念到NP程序中的教学策略的分析.
- 讨论教师发展和负责任的人工智能使用的基本组成部分.
主要成果:
- 人工智能在医疗保健中的整合需要在NP教育中进行相应的演变.
- 课程应包括人工智能驱动的作业和模拟,以增强批判性思维和诊断推理.
- 教师发展和对公平和负责任的人工智能使用的关注对于成功的整合至关重要.
结论:
- NP计划必须主动适应包括人工智能素养,为人工智能驱动的未来准备毕业生.
- 教师需要接受教学转变和新兴技术,以配备未来的NP.
- 这种整合将使NP能够在AI增强的医疗保健环境中领导和创新.
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