一个人工智能驱动的虚拟患者平台 (CBT教练) 培训认知行为治疗从业者对能力:混合方法试点研究研究
Tianyu Terry Zhang1, Rob Saunders1, Stephen Pilling1,2
1Research Department of Clinical, Educational & Health Psychology, Centre for Outcomes Research and Effectiveness (CORE), University College London, 1-19 Torrington Place, London, WC1E 7HB, United Kingdom, 44 07398556250.
JMIR medical education
|March 11, 2026
概括
认知行为疗法 (CBT) 培训通过新的AI虚拟患者平台CBT培训师来增强,为技能发展提供可访问的实时反. 这种工具在安全,可重复的环境中有望提高治疗师的能力.
科学领域:
- 心理学 心理学 心理学
- 人工智能的人工智能
- 医学教育 医学教育
背景情况:
- 认知行为疗法 (CBT) 培训在监督实践,反一致性和能力评估标准化方面面临挑战.
- 传统的培训方法往往缺乏足够多样化的案例曝光和结构化的技能发展机会.
研究的目的:
- 评估CBT培训师 (TTZ) 的可接受性和可行性,这是一个AI驱动的虚拟患者平台,用于CBT培训.
- 评估平台提供实时反的能力,与心理从业人员的既定能力框架保持一致.
主要方法:
- 一项混合方法试点研究,涉及可用性测试和两阶段方法,包括来自心理学培训计划的59名参与者.
- 数据收集包括系统可用性量表 (SUS),平台参与度指标,研究后问卷,对角色扮演的比较评估和定性反.
主要成果:
- 该CBT培训平台表现出卓越的可用性 (平均SUS 82.20) 并由参与者自愿参与.
- 参与者报告了自我认知能力的显著提高,特别是在评估和信息收集技能方面.
- 质量反强调了平台在能力一致的反,可访问性和提供安全的实践空间方面的优势.
结论:
- 基于人工智能的患者模拟 (CBT教练) 显示出作为CBT治疗师的补充工具的潜力,特别是在可访问性和立即反方面.
- 建议通过随机控制设计和客观能力评估进行进一步的研究,以验证这些发现.
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