Lisa S Lewis, Ann Michelle Hartman, Jill Brennan-Cook, Irene C Felsman, Briana Colbert, Leila Ledbetter, Stephanie A Gedzyk-Nieman
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引用次数: 0
摘要
背景：使用大型语言模型（LLM）和人工智能（AI）工具来准备卫生专业入学申请的情况越来越多。目的：本范围综述探讨了有关申请卫生专业的申请人和入学审核人员使用人工智能的文献：根据乔安娜-布里格斯研究所（Joanna Briggs Institute）和《系统综述和元分析首选报告项目》（Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews）指南，我们在多个数据库中进行了检索，共发现1706篇引文。经过筛选，共纳入 18 篇文章：综述收录的文章主要涉及：（1）使用人工智能筛选申请人或预测排名和面试邀请；（2）人工智能生成的个人陈述的伦理影响；（3）检测人工智能生成的申请的潜力；（4）使用人工智能撰写或分析推荐信：结论：人工智能工具可以提高入学审查过程的效率，但需要明确的指导方针来解决伦理问题。需要进一步开展研究，尤其是在护理教育领域。
Artificial Intelligence and Admissions to Health Professions Educational Programs: A Scoping Review.
Background: The use of large language models (LLMs) and artificial intelligence (AI) tools to prepare health professions admissions applications is increasing. These tools can improve writing significantly but raise ethical concerns about application authenticity.
Purpose: This scoping review explored the literature on use of AI by applicants applying to health professions programs and by admission reviewers.
Methods: Following Joanna Briggs Institute and Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews guidelines, a search was conducted in multiple databases, which identified 1706 citations. After screening, 18 articles were included.
Results: Articles included in the review focused on the (1) use of AI to screen applicants or predict ranking and interview invitations, (2) ethical implications of AI-generated personal statements, (3) potential to detect AI-generated applications, and (4) use of AI to write or analyze letters of reference.
Conclusions: AI tools can enhance the efficiency of the admissions review process, but clear guidelines are required to address ethical issues. Further research is needed, particularly in nursing education.
期刊介绍：
Nurse Educator, a scholarly, peer reviewed journal for faculty and administrators in schools of nursing and nurse educators in other settings, provides practical information and research related to nursing education. Topics include program, curriculum, course, and faculty development; teaching and learning in nursing; technology in nursing education; simulation; clinical teaching and evaluation; testing and measurement; trends and issues; and research in nursing education.
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