对痴呆症患者进行算法识别以招募研究人员:伦理考虑。

Informatics for health & social care Pub Date : 2024-01-02 Epub Date: 2024-01-10 DOI:10.1080/17538157.2023.2299881
Alex John London, Jason Karlawish, Emily A Largent, Spencer Phillips Hey, Ellen P McCarthy
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引用次数: 0

摘要

诊断不足、误诊以及社会不平等模式导致的医疗系统使用权不平等,这些都阻碍了阿尔茨海默病和阿尔茨海默病相关痴呆症研究中识别和招募多样化、有代表性的人群。为此,一些人转而采用算法,利用与痴呆症相关但不像诊断那样具体的信息来识别痴呆症患者。本文解释了与使用此类算法相关的六个伦理问题,包括未经参与者同意为研究目的生成新的、敏感的、可识别的医疗信息、公正与公平问题、风险问题以及伦理交流问题。最后,本文讨论了解决这些问题并促进有价值研究的策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Algorithmic identification of persons with dementia for research recruitment: ethical considerations.

Underdiagnosis, misdiagnosis, and patterns of social inequality that translate into unequal access to health systems all pose barriers to identifying and recruiting diverse and representative populations into research on Alzheimer's disease and Alzheimer's disease related dementias. In response, some have turned to algorithms to identify patients living with dementia using information that is associated with this condition but that is not as specific as a diagnosis. This paper explains six ethical issues associated with the use of such algorithms including the generation of new, sensitive, identifiable medical information for research purposes without participant consent, issues of justice and equity, risk, and ethical communication. It concludes with a discussion of strategies for addressing these issues and prompting valuable research.

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