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用人工智能驱动的虚拟现实模拟用于临床交接培训:一个开发框架

Maggie Mee Kie Chan1, Daphne Sze Ki Cheung, Ken Hok Man Ho

  • 1Author Affiliations: School of Nursing, The Hong Kong Polytechnic University, Kowloon, Hong Kong, China (Dr Chan); Centre for Quality and Patient Safety Research/Alfred Health Partnership, Institute for Health Transformation, Deakin University, Melbourne, VIC, Australia (Dr Cheung); Senior Research Fellow, School of Nursing and Midwifery, Faculty of Health, Deakin University, Melbourne, VIC, Australia (Dr Cheung); Associate Professor, School of Nursing & Midwifery, La Trobe University, Melbourne, VIC, Australia (Dr Ho); Teaching and Learning Innovation Centre, The University of Hong Kong, Hong Kong, China (Dr Hung, Mr Tai); and School of Nursing, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong, China (Mr Wan, Mr Wong, Mr Cheuk, Mr Lai, Mr Chan).

Nurse educator
|October 27, 2025
PubMed
概括
此摘要是机器生成的。

本研究介绍了护理交接培训的AI-VR框架,增强了现实主义和反. 这种创新方法通过沉浸式虚拟现实和自适应人工智能改善临床教育,提高患者安全.

关键词:
沟通技巧 沟通技巧 沟通技巧教育技术的教育技术.专业间教育是专业间的教育.患者安全 患者安全技能培训 技能培训 技能培训 技能培训

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科学领域:

  • 护理教育 护理教育
  • 医疗模拟 医疗模拟
  • 医疗信息学 医疗信息学

背景情况:

  • 临床移交对于护理中的患者安全至关重要.
  • 传统的训练方法缺乏沉浸,现实主义和个性化的反.
  • 护士教育者面临的挑战是将生成人工智能 (GenAI) 和虚拟现实 (VR) 整合到传递教育中.

研究的目的:

  • 提出一个发展框架,将GenAI和VR整合到护理传递教育中.
  • 为实施这项技术的护士教育工作者提供实际指导.

主要方法:

  • 开发了一个三层架构:系统 (ChatGPT用于自适应响应),交互 (游戏化) 和演示 (VR与AI化身).
  • 人工智能化身是以教练为模型,使用识别,情况,背景,评估,建议 (ISBAR) 框架.
  • 试点测试与本科护理学生进行了测试.

主要成果:

  • 试点测试通过真人化身和实时ISBAR反显示了增强的真实性.
  • 学生报告说,训练的现实性和参与度有所改善.
  • 确定非语言同步作为未来改进的领域.

结论:

  • 开发框架和实施检查清单为在交付培训中部署AI-VR提供了系统指导.
  • 这种方法使护士教育处于教学创新的最前沿.
  • 通过先进的模拟,提高临床交付能力和患者安全.