人工智能通信培训工具在医学本科教育中的应用:在初级保健背景下混合方法可行性研究
Chris Jacobs1, Hans Johnson2, Nina Tan1
1Department of Psychology, University of Bath, Claverton Down, Bath, BA2 7AY, United Kingdom, 44 01225384176.
人工智能 (AI) 虚拟患者 (VP) 显示出对培训医学学生的沟通技能的承诺,提供安全的实践环境和即时反. 虽然尚未完全现实,但AI VPs为改善医疗保健沟通提供了有价值的教育互动.
科学领域:
- 医疗教育 技术 技术 医学教育
- 医疗保健中的人工智能
- 临床沟通技巧培训 临床沟通技巧培训
背景情况:
- 有效的医疗保健沟通对于患者的结果和满意度至关重要.
- 传统的医学沟通培训方法面临着可扩展性和个性化挑战.
- 人工智能 (AI) 为真实的患者互动模拟提供了创新的解决方案.
研究的目的:
- 调查AI通信培训工具在本科医学教育中的使用情况.
- 评估AI虚拟患者 (VP) 对沟通技巧实践的有效性,可用性和影响.
- 在初级保健背景下对风险评估场景进行AIVP的评估.
主要方法:
- 采用了一种混合方法的顺序解释设计.
- 参与者 (15名医学学生,3名医生) 与人工智能副总裁进行前列腺癌风险评估.
- 量化调查和定性焦点小组评估了用户体验,忠诚度,沉浸度,动机,可用性和感知价值.
主要成果:
- 参与者报告了内在动机 (d=2.09,P<.001),系统可用性 (d=2.18,P<.001) 和心理安全 (d=4.78,P<.001) 的显著积极得分.
- 忠实度 (d=-0.08,P=.02) 和沉浸度 (d=0.25,P=.08) 获得了中等的评分.
- 定性分析显示了对安全实践环境和即时反的赞赏,以及确定的技术限制.
结论:
- 人工智能VP技术显示出医疗沟通技能培训的巨大潜力,尽管目前的现实主义限制.
- 该技术为有意义的教育互动提供了足够的真实性,并突出了未来发展的领域.
- 将人工智能纳入医学课程提供了一种创新的方法,以提高培训计划的质量和有效性.
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