生成型人工智能 (GAI) 对心理健康的好处和未来潜力:德尔菲研究
Chit Thet Lal Oo1,2, Walton Wider1,3,4,5, Nicholas Tze Ping Pang6
1Faculty of Business and Communications, INTI International University, Nilai, Malaysia.
概括
专家们一致认为,生成人工智能 (GAI) 可以提高心理健康护理的可访问性,并作为一个协作工具. 成功的整合需要信任,透明度和道德准则,以实现公平的采用.
科学领域:
- 数字心理健康数字心理健康
- 医疗保健中的人工智能
- 精神病学和临床心理学.
背景情况:
- 生成型人工智能 (GAI) 为心理健康护理提供了新的机会.
- 了解专家的看法对于有效的技术整合至关重要.
- 技术接受模型 (TAM) 为分析用户对新技术的接受提供了一个框架.
研究的目的:
- 探索关于GAI在心理健康护理中的好处和未来潜力的专家共识.
- 通过技术接受模型 (TAM) 的镜头来解释专家的看法.
主要方法:
- 一项为期两轮的德尔菲研究,涉及15名精神病学,临床心理学,咨询和数字心理健康专家.
- 混合方法设计,涉及对开放式答案的专题分析和对已识别的维度的专家排名.
- 使用肯德尔一致系数进行共识评估.
主要成果:
- 在八个好处维度中确定了28个主题,在八个未来潜在维度中确定了29个主题.
- 对于好处 (W = 0.145,p = 0.034) 和未来潜力 (W = 0.152,p = 0.025) 实现了统计学上显著的共识.
- 关键的好处包括提高可访问性和可用性;未来的潜力在于人工智能作为一种协作和信息化工具.
结论:
- GAI被认为是心理健康实践的变革性补充,改善了访问,个性化和专业能力.
- 成功的采用取决于可用性,透明度,信任和强大的道德治理.
- 确保平等和以人为中心的整合对GAI在心理健康护理方面至关重要.
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