对痴呆症患者进行研究招聘的算法识别:伦理考虑
Alex John London1, Jason Karlawish2,3,4, Emily A Largent2
1Center for Ethics and Policy, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA.
Informatics for health & social care
|January 10, 2024
概括
算法可以使用间接数据识别潜在的阿尔茨海默病研究参与者,但必须解决有关同意,公平和数据隐私的伦理问题,以确保负责任和包容性的研究.
科学领域:
- 神经学 神经学
- 生物伦理学生物伦理学
- 医疗信息学 医疗信息学
背景情况:
- 鉴定阿尔茨海默氏症和相关痴呆症 (AD / ADRD) 研究的多样性人口是具有挑战性的,因为诊断不足,错误诊断和健康不平等.
- 算法越来越多地被用于基于相关的健康信息来识别潜在的AD / ADRD研究参与者,而无需具体诊断.
研究的目的:
- 概述和分析六个主要的伦理问题,这些问题源于使用算法来识别AD/ADRD研究参与者.
- 提出减轻这些道德挑战和促进有价值,公平的研究的策略.
主要方法:
- 在AD/ADRD研究中的算法驱动参与者识别的伦理分析.
- 审查包括同意,数据隐私,正义,公平,风险和沟通在内的伦理考虑.
主要成果:
- 确定了六个主要的伦理问题:在没有同意的情况下生成敏感数据,正义和公平问题,风险评估和伦理沟通挑战.
- 使用算法可以无意中创建新的可识别的医疗信息,引发隐私问题.
结论:
- 解决伦理问题对于在AD/ADRD研究中负责任地实施算法至关重要.
- 需要战略来确保参与者保护,促进公平,并促进有意义的研究参与.
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