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护理模拟报告的以问题为中心的提示工程:模型开发和验证
Aeri Jang1, Moonju Oh2, Mi Ok Song1
1Department of Nursing, Mokpo National University, Muan-gun, Jeollanam-do, Republic of Korea.
Nurse education in practice
|September 6, 2025
概括
这项研究引入了人工智能驱动的护理模拟指导报告模型,增强了临床推理. 验证的模型显著提高了护理学生的AI能力,知识和信心.
科学领域:
- 护士教育
- 医疗保健中的人工智能
- 基于模拟的学习
背景情况:
- 目前的护理模拟报告模型缺乏像快速工程这样的AI方法的整合.
- 在护理教育中需要结构化的框架来增强通过人工智能的临床推理.
研究的目的:
- 开发和验证一个整合以问题为中心的学习和人工智能提示的护理模拟的教学报告模型.
- 评估该模型在提高护理学生的人工智能能力和临床推理能力方面的有效性.
主要方法:
- 一个四阶段的发展方法:文献审查,讲师采访,专家验证和外部评估.
- 使用护理模拟环境,由教师和教育技术专家参与.
主要成果:
- 建立了一个框架,将问题类型与解答阶段以及人工智能提示工程策略结合起来.
- 在AI能力,类兴趣,知识和信心方面取得了强大的有效性 (CVI=3.67,IRA=1.0).
结论:
- 经过验证的模型提供了一个结构化的方法来整合人工智能到护理模拟报告中.
- 在开发人工智能增强的医疗问题解决技能方面,有更广泛的应用潜力.
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