权衡延迟的成本和益处以及在精神卫生保健中接受两个决策支持工具:使用定量和定性数据进行范围研究
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Updated: Jan 16, 2026

Measuring Delay Discounting in Humans Using an Adjusting Amount Task
Published on: January 9, 2016
Sarah McKenna1, Min K Chong1, Adam Poulsen1
1Brain and Mind Centre, Faculty of Medicine and Health, University of Sydney, 94 Mallett St, Camperdown, NSW, 2050, Australia, 61 0419517723.
心理健康专业人士认为人工智能 (AI) 是改善青少年心理健康服务的一种方式. 接受取决于成本效益分析,认识到延迟人工智能工具集成的风险.
科学领域:
- 心理健康 心理健康
- 人工智能的人工智能
- 医疗保健技术 技术 医疗保健 技术
背景情况:
- 青少年心理健康障碍是导致残疾的主要原因,压倒目前的服务.
- 缺乏合格的心理健康专业人员 (MHPs) 加剧了危机.
- 人工智能 (AI) 为诊断,分组和护理规划提供了潜在的解决方案.
研究的目的:
- 调查MHPs在青少年心理健康服务中接受AI工具的信念和态度.
- 探索MHPs对将AI整合到早期干预的实用性和挑战的观点.
主要方法:
- 采用混合方法方法,将基于网络的调查 (n=57) 和与MHP进行的半结构面试 (n=15) 结合起来.
- 参与者有从事12-30岁青年工作的经验.
- 评估了两个提供护理协调建议的AI原型.
主要成果:
- 大多数MHP (64%) 认为人工智能将改善整体青少年心理健康护理.
- 人们对数据安全和隐私表示担忧,并承认人工智能需要提高效率并减少护理延迟.
- 大型人工智能公司认识到,如果不采用新型人工智能工具,会产生显著的负面影响.
结论:
- 人工智能工具的MHP接受取决于全面的成本效益分析,权衡采用与不采取行动的成本.
- 研究人员和MHP之间的协作努力对于开发和将有效的AI工具集成到实践中至关重要.
- 这些发现强调了考虑人工智能在青少年心理健康服务中采用人工智能的更广泛影响的重要性.
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