人工智能和健康专业的入学教育计划:一个范围的审查
Lisa S Lewis1, Ann Michelle Hartman, Jill Brennan-Cook
1Author Affiliations: Duke University School of Nursing, Durham, North Carolina (Drs Lewis, Hartman, Brennan-Cook, and Felsman, and Ms Colbert, and Dr Gedzyk-Nieman); and Duke University Medical Center Library, Durham, North Carolina (Ms Ledbetter).
Nurse educator
|October 17, 2024
概括
人工智能 (AI) 和大型语言模型 (LLM) 越来越多地用于医疗专业的招生. 虽然人工智能提高了应用程序准备和审查效率,但关于真实性的伦理问题和需要明确指导方针的需求需要进一步调查.
科学领域:
- 健康 职业 教育 教育 专业
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
背景情况:
- 越来越多地使用人工智能 (AI) 和大型语言模型 (LLM) 在准备卫生专业招生申请时.
- 人工智能工具提供了显著的写作改进,但也引发了有关应用程序真实性的伦理问题.
研究的目的:
- 通过卫生专业的申请人和入学审查人员对人工智能使用的文献进行范围审查.
- 探索当前的景观和人工智能在招生中的伦理考虑.
主要方法:
- 遵守乔安娜·布里格斯研究所和PRISMA范围审查指南.
- 综合的数据库搜索产生了1706个引用.
- 最终选择了18篇文章进行审查.
主要成果:
- 人工智能在招生选和预测结果中的应用.
- 人工智能产生的个人陈述和检测方法的伦理影响.
- 在撰写和分析推信时使用AI.
结论:
- 人工智能可以提高招生审查效率,但需要明确的道德准则.
- 进一步的研究至关重要,特别是在护理教育中.
- 解决人工智能在招生中的真实性和伦理使用至关重要.
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