自杀预防的数字创新:向一个范式的转变
1Department of Precision and Regenerative Medicine and Ionian Area (DiMePRe-J), University of Bari "Aldo Moro", Bari, Italy.
Psychiatria Danubina
|September 22, 2025
概括
像应用程序和人工智能这样的数字工具在预防自杀方面表现有前途,改善早期发现和护理连续性. 将技术与临床医生集成的混合护理模型是最有效的,尽管道德挑战仍然存在.
科学领域:
- 数字健康数字健康
- 心理健康技术 心理健康技术
- 预防自杀 预防自杀
背景情况:
- 目前的自杀预防策略的有效性有限,特别是在早期发现,护理连续性和用户参与方面.
- 数字技术为及时预防自杀提供了可扩展,个性化的干预措施.
研究的目的:
- 从2015年到2025年,审查新兴的数字解决方案,以预防自杀.
- 在数字自杀预防方面确定有前途的技术和挑战.
主要方法:
- 在PubMed,Medline和谷歌学者 (2015-2025) 中进行结构化的文献搜索.
- 对已识别的数字工具进行叙述性审查.
主要成果:
- 确定了五种类型的数字工具:移动应用程序,同情聊天机器人,机器学习风险预测,通过生态瞬间评估 (EMA) 进行被动传感,以及模拟/嵌入式对话代理 (ECA).
- 结合数字工具与临床干预的混合护理模型显示了增强的坚持,治疗联盟和结果.
- 关键的挑战包括算法透明度,用户依赖性和道德危机管理.
结论:
- 数字技术可以显著提高自杀风险识别,用户参与度和护理连续性.
- 倡导转向主动,数据驱动,以人为中心的护理的模式转变.
- 共同设计的开发,严格的验证和量身定制的治理对于安全有效的实施至关重要.
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