患者对医学人工智能知情同意的看法:一项基于网络的实验。

Patient perspectives on informed consent for medical AI: A web-based experiment.

作者信息

Park Hai Jin

机构信息

Center for AI and Law, Hanyang University Law School, Seoul, South Korea.

出版信息

Digit Health. 2024 Apr 30;10:20552076241247938. doi: 10.1177/20552076241247938. eCollection 2024 Jan-Dec.

Abstract

OBJECTIVE

Despite the increasing use of AI applications as a clinical decision support tool in healthcare, patients are often unaware of their use in the physician's decision-making process. This study aims to determine whether doctors should disclose the use of AI tools in diagnosis and what kind of information should be provided.

METHODS

A survey experiment with 1000 respondents in South Korea was conducted to estimate the patients' perceived importance of information regarding the use of an AI tool in diagnosis in deciding whether to receive the treatment.

RESULTS

The study found that the use of an AI tool increases the perceived importance of information related to its use, compared with when a physician consults with a human radiologist. Information regarding the AI tool when AI is used was perceived by participants either as more important than or similar to the regularly disclosed information regarding short-term effects when AI is not used. Further analysis revealed that gender, age, and income have a statistically significant effect on the perceived importance of every piece of AI information.

CONCLUSIONS

This study supports the disclosure of AI use in diagnosis during the informed consent process. However, the disclosure should be tailored to the individual patient's needs, as patient preferences for information regarding AI use vary across gender, age and income levels. It is recommended that ethical guidelines be developed for informed consent when using AI in diagnoses that go beyond mere legal requirements.

摘要

目的

尽管人工智能应用在医疗保健领域作为临床决策支持工具的使用日益增加,但患者通常并不知晓其在医生决策过程中的应用情况。本研究旨在确定医生是否应披露在诊断中使用人工智能工具的情况以及应提供何种信息。

方法

在韩国对1000名受访者进行了一项调查实验,以评估患者对于在决定是否接受治疗时关于人工智能工具用于诊断的信息的感知重要性。

结果

研究发现,与医生咨询人类放射科医生时相比,使用人工智能工具会增加与该工具使用相关信息的感知重要性。当使用人工智能时,参与者认为与人工智能工具相关的信息比不使用人工智能时定期披露的关于短期影响的信息更重要或相似。进一步分析表明,性别、年龄和收入对每条人工智能信息的感知重要性具有统计学上的显著影响。

结论

本研究支持在知情同意过程中披露诊断中使用人工智能的情况。然而,披露应根据个体患者的需求进行调整,因为患者对于人工智能使用信息的偏好因性别、年龄和收入水平而异。建议在人工智能用于诊断的知情同意方面制定超越单纯法律要求的伦理准则。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索