计算思想的技术政治:打开数字精神病学的黑盒子
Katerina Sideri1, Niels van Dijk2
1Panteion University of Social and Political Sciences, Athens, Greece.
Social studies of science
|October 14, 2024
概括
数字表型化使用可穿戴设备来监测日常行为,用于心理健康复发预测. 本研究探讨了这些技术的复杂构建,包括患者协作和知识整合.
科学领域:
- 精神病学是一个精神病学.
- 数字健康数字健康
- 行为科学 行为科学
背景情况:
- 数字表型是精神病学中一个新兴的研究领域.
- 它涉及通过可穿戴设备收集患者行为数据,以预测心理健康复发或个性化治疗.
- 数字表型的基本假设和说法仍在调查中.
研究的目的:
- 检查心理健康障碍数字表型系统的构建过程.
- 了解患者作为合作者在开发数字健康工具中的作用.
- 分析不同知识系统的整合,以及在这个技术科学中重新构建"精神"和"治疗"等概念.
主要方法:
- 在一个研究小组开发数字表型系统后进行的定性研究.
- 通过采访收集数据,观察开发过程.
- 分析不同参与者如何预期软件和数据分析在临床环境中发挥作用.
主要成果:
- 在系统开发过程中,确定了各种心理健康知识制度之间的摩擦和辩论.
- 观察到关于代表性不足的患者,自我报告的临床知识和社会经济因素的"分离".
- 强调了创建新的数字健康工具所涉及的复杂的翻译和谈判.
结论:
- 数字表型化工具的开发涉及复杂的社会技术过程.
- 患者的协作和多元知识的整合是关键的,但具有挑战性的方面.
- 了解这些"黑子"过程对于数字行为技术科学的负责任发展至关重要.
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