先进实践护理教育中的人工智能:机遇和挑战
Kimberly A Allen1, Amy Costner-Lark, Teresa Serratt
1Department of Population Health and Health System Science, Fran and Earl Ziegler College of Nursing, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma.
概括
人工智能 (AI) 在医疗保健教育中提供了机遇和挑战. 将人工智能集成到高级实践护理计划中,使用TPACK框架,为未来的护士准备技术丰富的环境,同时解决道德问题和临床推理.
科学领域:
- 医疗保健 教育 医疗保健 教育
- 人工智能在医学中的应用
- 护理信息学 护理信息学
背景情况:
- 人工智能 (AI) 越来越多地融入医疗保健,为教育带来新的机遇和挑战.
- 有关学术完整性,人工智能产生的错误信息 (幻觉),以及成本,隐私和偏见等实际问题存在担忧.
研究的目的:
- 讨论将人工智能整合到高级实践护理教育中.
- 通过技术教学内容知识 (TPACK) 框架指导教育工作者设计AI增强的作业.
- 为技术驱动的医疗保健机构准备未来的高级实践注册护士 (APRNs).
主要方法:
- 利用技术教学内容知识 (TPACK) 框架指导人工智能集成.
- 详细介绍了高级实践护理学生基于AI的作业的演变.
- 强调道德考虑,跨学科合作和临床推理技能发展.
主要成果:
- 在护理教育中整合人工智能可以增强学习和决策.
- 根据TPACK框架设计的任务促进批判性思维和现实世界的准备.
- 解决伦理和实际挑战对于成功实施AI至关重要.
结论:
- 将人工智能集成到先进实践护理教育中,对于为现代医疗需求准备APRN至关重要.
- 这种方法支持基本能力,并与当前的护理教育标准保持一致.
- 装备APRN的人工智能相关技能,促进医疗保健的持续学习和适应.
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