用户分析在心理健康管理中的应用:一个范围审查
CangMei Fu1, Yi Zhang1, XiTing Huang2,3
1Department of Oncology, The Second Xiangya Hospital, Central South University, Changsha, 410011, P. R. China.
BMC psychology
|December 28, 2025
概括
用户分析技术使用人工智能和数据来个性化心理健康护理,改善数百万人的访问和有效性. 这种数字化方法增强了干预措施,但需要进一步验证才能得到广泛采用.
科学领域:
- 数字健康数字健康
- 人工智能在心理健康护理中的应用
- 个性化医疗是个性化的医疗.
背景情况:
- 全球精神健康障碍影响9.7亿人,由于耻辱和资源限制,他们获得护理的机会有限.
- 利用人工智能和多源数据的用户分析技术,为个性化心理健康解决方案提供了一条途径.
研究的目的:
- 在患者心理健康管理中对用户分析应用进行范围审查.
- 综合证据,并在数字精神卫生保健中提供基于证据的实践信息.
主要方法:
- 在七个主要数据库 (PubMed,Embase,Web of Science等) 中进行系统搜索. 从1964年到2025年.
- 由两名研究人员根据既定的范围审查方法进行独立选和数据提取.
主要成果:
- 包括18项研究,详细介绍了用户配置文件的构建在三个阶段:数据采集,特征提取和可视化.
- 跨不同人群 (青少年,年轻人,精神病患者) 的应用促进了个性化干预,资源配置和危机管理.
- 实施显示了更好的服务可访问性,干预精度,用户体验和远程干预有效性.
结论:
- 用户分析技术整合了个性化心理健康服务的多维数据,提高了干预效率,降低了成本,提高了满意度.
- 这项技术在数字心理干预方面表现有前途,但在长期结果验证和技术普遍性方面面临挑战.
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