设计基于视频的远程临床咨询模拟与基于人工智能的通信检测:医疗保健专业人员和教育工作者的观点
Rasmus Kyyhkynen1, Laura-Maria Peltonen2, Jouni Smed1
1Department of Computing, Faculty of Technology, University of Turku.
Computers, informatics, nursing : CIN
|December 10, 2025
概括
这项研究探讨了人工智能驱动的视频咨询工具,用于培训卫生专业人员进行非语言沟通. 结果表明客观反和充满情感的场景可以增强基于模拟的学习.
科学领域:
- 医学教育 医学教育
- 人与计算机的交互
- 医疗保健中的人工智能
背景情况:
- 远程临床咨询越来越常见.
- 有效的非语言沟通对于患者护理至关重要.
- 当前的远程医疗培训可能缺乏客观的反机制.
研究的目的:
- 为人工智能驱动的视频咨询培训应用程序收集设计想法.
- 探索医疗保健专业人员对远程医疗培训和非语言沟通的看法.
- 为开发基于人工智能的反沟通技巧提供信息.
主要方法:
- 与11名医疗保健专业人员和教育工作者进行了半结构化采访.
- 采访数据的诱导性主题分析.
- 探索AI用于在模拟咨询中检测非语言线索.
主要成果:
- 确定了设计模拟视频咨询和AI反的关键主题.
- 参与者强调需要客观的沟通技巧措施.
- 人工智能反应该强调积极的方面,提供上下文信息,避免过度详细化.
结论:
- 客观措施和人工智能驱动的反可以增强卫生专业的教育模拟.
- 充满情感的场景对于教导非语言沟通是有价值的.
- 确定了人工智能在远程医疗培训中的设计考虑因素.
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