众包智能手机数据用于生物医学研究:伦理和法律问题
Michael Lang1, Kyle McKibbin2, Mahsa Shabani2
1Faculty of Medicine and Health Sciences, Centre of Genomics and Policy, McGill University, Montreal, Canada.
Digital health
|October 6, 2023
概括
智能手机收集的健康数据 (SCMD) 提供了新的生物医学发现潜力. 然而,它在算法培训中的使用引发了重大的伦理和法律挑战,需要立即政策和学术关注安全创新.
科学领域:
- 数字健康数字健康
- 生物医学信息学 生物医学信息学
- 医学伦理 医学伦理
背景情况:
- 智能手机的使用量急剧增加,改变了健康数据的收集和共享.
- 移动健康应用程序收集各种指标,包括行为,临床和症状数据.
- 这些数据有潜力用于传统研究和公民科学倡议.
研究的目的:
- 探索智能手机收集数据在新生物医学发现范式中的实用性.
- 分析使用移动健康数据对人工智能算法培训和产品开发的影响.
- 引入智能手机众包医疗数据 (SCMD) 的概念,并提出研究议程.
主要方法:
- 生物医学发现中的移动健康数据应用的概念分析.
- 论证框架,解决SCMD的伦理和法律挑战.
- 介绍SCMD和为未来研究提出的研究议程.
主要成果:
- 智能手机收集的数据即将成为医疗人工智能和产品开发的组成部分.
- 与使用SCMD相关的重大伦理和法律挑战.
- 政策制定者和学者必须立即对此进行审查.
结论:
- SCMD为医疗创新和数据驱动的发现带来了新的前沿.
- 必须考虑道德和法律方面的考虑,以保护个人利益.
- 进一步的学术关注对于SCMD在促进医学进步中的安全和最大利用至关重要.
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