人工智能在心理健康护理实践中的未来:综合性审查
Lucian H Milasan1, Daniel Scott-Purdy1
1Institute of Health and Allied Professions, Nottingham Trent University, Nottingham, UK.
International journal of mental health nursing
|January 23, 2025
概括
人工智能 (AI) 正在改变心理健康护理. 本综述综合了人工智能应用的证据,突出了它们提高患者评估,诊断和治疗的潜力,同时强调了人文融合的必要性.
科学领域:
- 数字健康数字健康
- 护理信息学 护理信息学
- 心理健康保健技术 技术
背景情况:
- 人工智能 (AI) 越来越多地被整合到全球精神卫生保健服务中.
- 人工智能技术正在重塑心理健康护士在临床实践中的传统角色.
研究的目的:
- 对与心理健康护理相关的基于人工智能的应用进行综合性审查.
- 综合关于人工智能提高心理健康护理实践潜力的证据.
主要方法:
- 在五个电子数据库中进行系统搜索:CINAHL,PubMed,PsycINFO,Web of Science和Scopus.
- 用全面的综合方法识别,批判性评估和综合78项相关研究.
主要成果:
- 确定的AI应用包括机器学习,自然语言处理,数字表型,计算机视觉和对话代理.
- 五个主题出现了:评估,识别,预测,优化和AI在心理健康护理中的感知.
- 人工智能技术显示出在各种应用中增强心理健康护理实践的巨大潜力.
结论:
- 人工智能驱动的技术为改善心理健康护理提供了巨大的潜力.
- 整合人工智能需要仔细考虑人文主义方法,以确保以人为中心的护理.
- 护士,患者和开发人员之间的协作对话对于共同创建促进赋权和积极参与的AI工具至关重要.
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