通过识别关键促进者和障碍物,在心理治疗中导航人工智能采用的复杂性
Julia Cecil1, Insa Schaffernak2, Danae Evangelou3
1Department of Psychology, LMU Center for Leadership and People Management, LMU Munich, Munich, Germany. julia.cecil@psy.lmu.de.
Npj mental health research
|March 7, 2026
概括
人工智能 (AI) 在精神卫生保健中的采用是复杂的. 关键的促进因素包括有用的技术和成本覆盖,而障碍则涉及缺乏人力接触和资源限制.
科学领域:
- 心理健康保健技术 技术
- 人工智能应用程序 人工智能应用程序
- 心理治疗创新 心理治疗的创新
背景情况:
- 人工智能 (AI) 提供了减轻治疗师工作量和改善精神卫生保健服务的机会.
- 然而,人工智能在心理治疗中的广泛采用面临着重大挑战.
- 了解这些采用动态对于成功实施至关重要.
研究的目的:
- 确定影响人工智能技术在精神卫生保健,特别是心理治疗中采用的关键促进者和障碍.
- 通过非采用,放弃,扩大,扩散和可持续性 (NASSS) 框架分析这些因素.
主要方法:
- 进行了6个在线焦点小组,共32名患者和治疗师.
- 使用基于NASSS框架的半结构面试指南.
- 对收集的数据进行了综合演和感应的主题分析.
主要成果:
- 在七个NASSSS域中确定了36个不同的类别.
- 16个类别促进了采用,包括技术的实用性,定制和成本覆盖.
- 11个类别作为障碍,例如缺乏人际接触,资源限制和人工智能依赖.
- 九个类别展示了取决于背景的角色,作为促进者或障碍者.
结论:
- 人工智能在心理健康护理中的采用是多方面的,受到复杂的因素相互作用的影响.
- 在人工智能开发过程中主动解决识别的障碍对于成功的整合至关重要.
- 根据用户需求量身定制人工智能解决方案,减轻人们对人际接触的担忧对于更广泛的接受至关重要.
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