将人工智能技术集成到模拟中,用于执照前和执照后的护理学生
Beth Ann Swan1, Nicholas A Giordano, Sara Febres-Cordero
1About the Authors The authors are faculty at the Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, Georgia. Beth Ann Swan, PhD, RN, CHSE, FAAN, ANEF, is associate dean for education. Nicholas A. Giordano, PhD, RN, FAAN, is assistant professor. Sara Febres-Cordero, PhD, RN, is assistant professor. Kim Fugate, CHSE, CHSOS, is senior simulation operations specialist. Laika Steiger, MBA, CHSOS, FACHE, is associate dean for clinical practice operations. For more information, contact Dr. Swan at beth.ann.swan@emory.edu .
人工智能 (AI) 通过实现现实的阿片类药物过量模拟来增强护理教育. 学生们发现人工智能模型很有吸引力,并推它们用于培训未来的护士过量管理.
科学领域:
- 医疗模拟 医疗模拟
- 人工智能在医疗保健教育中的应用
- 护理教育 护理教育
背景情况:
- 人工智能 (AI) 在医疗保健模拟教育中的整合仍然有限.
- 涉及阿片类药物过量管理是护理学生的关键技能.
- 基于模拟的学习为练习复杂的临床场景提供了一个安全的环境.
研究的目的:
- 设计和实施人工智能支持的模拟场景,用于涉及阿片类药物过量管理.
- 为了评估护理学生的参与和对人工智能模型的感知,在过量模拟中进行过量模拟.
- 为整合人工智能的模拟教育提供一个模板.
主要方法:
- 开发基于人工智能的模拟场景,重点关注涉及阿片类药物的过量服用.
- 利用支持人工智能的木偶进行交互式学生学习体验.
- 在模拟后收集了30名执照前和执照后的护理学生的反.
主要成果:
- 参与者报告说,与人工智能支持的木偶有积极的接触.
- 人工智能支持的人形模拟被发现是一种有效的学习工具.
- 高比例的学生表示他们会推这项技术用于护理教育.
结论:
- 支持人工智能的人形是教学阿片类药物过量评估和管理的宝贵工具.
- 这种方法可以提高护理学生对现实世界过量紧急情况的准备.
- 该研究为在基于模拟的护理教育中实施人工智能的框架.
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