大脑健康数据库:以数据为导向的心理健康护理和研究的系统方法
Jose Arturo Santisteban1, David Rotenberg1, Stefan Kloiber2,3
1Krembil Centre for Neuroinformatics, Centre for Addiction and Mental Health, Toronto, ON, Canada.
Frontiers in neuroinformatics
|September 2, 2025
概括
大脑健康数据库 (BHDB) 通过整合数字工具和人工智能来改善心理健康. 这种学习心理健康系统提高了个性化,数据驱动的治疗和研究的数据质量.
科学领域:
- 数字健康
- 心理健康研究
- 数据科学
背景情况:
- 在精神卫生保健领域收集数据的碎片化损害了治疗效率和研究.
- 和心理健康中心 (CAMH) 开发了BrainHealth数据库 (BHDB),以应对这些挑战.
研究的目的:
- 建立一个学习心理健康系统的治理和基础设施.
- 整合数字工具,以测量为基础的护理,人工智能和开放科学,以实现个性化,数据驱动的心理健康护理.
主要方法:
- 实施了全面的治理框架,让各个利益相关方 (临床医生,研究人员,数据科学家,伦理专家,患者合作伙伴) 参与其中.
- 共同设计了数字健康技术的部署,以实现伦理,安全和有效的临床使用.
- 调整数据收集与临床和研究目标,协调来自33,000名患者的超过1200万个数据点.
主要成果:
- 提高数据质量,并实现实时决策支持.
- 促进心理健康服务和研究的持续改进.
- 成功整合人工智能和数字工具进行数据收集,分析,存储和共享.
结论:
- BHDB为学习心理健康系统提供了一个可扩展的模型.
- BHDB门户 (https://bhdb.camh.ca) 促进开放的科学和数据共享.
- 这种综合方法支持个性化,数据驱动的心理健康护理和研究.
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