基于人工智能的护理模拟场景评估工具的开发:在韩国使用实时Delphi方法进行的一项方法研究
Eun Joo Kim1, Bitna Park2, Geun Myun Kim3
1Associate Professor, Department of Nursing, Gangneung-Wonju National University, Wonju, Korea.
Child health nursing research
|October 30, 2025
概括
开发了一个新的标准化工具来评估护理模拟场景,提高基于模拟的教育的可靠性和有效性. 这项创新提高了评估学生临床能力的一致性.
科学领域:
- 护理教育 护理教育
- 医疗模拟 医疗模拟
- 教育技术的教育技术
背景情况:
- 基于模拟的教育对于护理学生来说至关重要,以安全地发展临床技能.
- 目前用于护理模拟的评估方法缺乏标准化,导致不一致的评估.
研究的目的:
- 开发一个全面和标准化的护理模拟场景评估工具.
- 提高基于模拟的护理教育的可靠性和有效性.
主要方法:
- 使用实时德尔菲方法与10名护理和模拟教育专家合作.
- 来自国际护理协会临床模拟和学习标准和文献的标准.
- 通过专家协商一致来精炼项目,并纳入AI进行客观评估.
主要成果:
- 开发了一个评估工具,包含8个领域和36个项目,涵盖模拟场景的关键方面.
- 获得了强大的专家一致意见,肯达尔一致系数为0.739.
- 该工具在韩国共和国获得了专利,突出了其创新性质.
结论:
- 成功开发了一种标准化,验证的工具,用于评估护理模拟场景.
- 解决当前教育实践中的关键差距,提高评估的一致性.
- 为了更广泛的应用,建议在各种教育环境中进一步验证.
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