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医疗保健领域人工智能应用的决策困境——一项关于患者对使用人工智能临床决策支持系统的信任、责任和自主决定权观点的定性研究

Indecision on the use of artificial intelligence in healthcare-A qualitative study of patient perspectives on trust, responsibility and self-determination using AI-CDSS.

作者信息

Schneider Diana, Liedtke Wenke, Klausen Andrea Diana, Lipprandt Myriam, Funer Florian, Bratan Tanja, Heyen Nils B, Aichinger Heike, Langanke Martin

机构信息

Department of Emerging Technologies, Fraunhofer Institute for Systems and Innovation Research ISI, Karlsruhe, Germany.

Faculty of Theology, University of Greifswald, Greifswald, Germany.

出版信息

Digit Health. 2025 May 30;11:20552076251339522. doi: 10.1177/20552076251339522. eCollection 2025 Jan-Dec.

DOI:10.1177/20552076251339522
PMID:40469779
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12134509/
Abstract

BACKGROUND

Patients are confronted with the digital transformation of medicine, yet there is a paucity of studies that discuss the patient perspective on AI-based clinical decision support systems (AI-CDSS). Our study addresses this research gap by focusing on their needs and concerns, especially regarding trust, responsibility, and self-determination.

METHODS

The qualitative study was conducted between April 2021 and April 2022 with 18 patients from Germany to participate in three focus groups (5-7 per group). The groups were presented with AI-CDSS examples (surgery, nephrology, and home-ventilated care) to discuss ethical and social aspects of their implementation. The interviews were analyzed in accordance with the structured qualitative content analysis of Kuckartz and Rädiker (2022).

RESULTS

The interviewees expressed considerable uncertainty regarding the AI-CDSS implementation. The results highlight the patients' perspective of AI-CDSS as a supportive tool or as a second opinion, which could challenge long-held values of trust, responsibility, and self-determination, particularly the relationship between trust and responsibility may undergo a transformation, leading to a loss of both.

CONCLUSION

The findings demonstrate that patients perceive the AI-CDSS implementation as a challenge both for their own decision-making and for the future doctor-patient relationship. This is further indicated by the shifts of trust, responsibility, and self-determination as influencing decision-making factors. Concurrently, the findings show that the patients' perspective is profoundly influenced by the individuals' comprehension of the functionality of AI-CDSS. It is therefore of importance to provide patients and healthcare professionals with information to prevent indecision.

摘要

背景

患者正面临医学的数字化转型,但很少有研究探讨患者对基于人工智能的临床决策支持系统(AI-CDSS)的看法。我们的研究通过关注患者的需求和担忧,特别是关于信任、责任和自主决定权,填补了这一研究空白。

方法

这项定性研究于2021年4月至2022年4月期间进行,18名来自德国的患者参与了三个焦点小组(每组5-7人)。向这些小组展示了AI-CDSS的示例(手术、肾病学和家庭通气护理),以讨论其实施过程中的伦理和社会问题。访谈依据库卡茨和雷迪克尔(2022年)的结构化定性内容分析法进行分析。

结果

受访者对AI-CDSS的实施表现出相当大的不确定性。结果凸显了患者将AI-CDSS视为一种支持工具或第二种意见的观点,这可能会挑战长期以来的信任、责任和自主决定权价值观,特别是信任与责任之间的关系可能会发生转变,导致两者都丧失。

结论

研究结果表明,患者认为AI-CDSS的实施对他们自己的决策以及未来的医患关系都是一种挑战。信任、责任和自主决定权作为影响决策的因素发生了转变,这进一步表明了这一点。同时,研究结果表明,患者的观点深受个人对AI-CDSS功能理解的影响。因此,向患者和医疗保健专业人员提供信息以防止犹豫不决非常重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cec4/12134509/0dbc021049b5/10.1177_20552076251339522-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cec4/12134509/0dbc021049b5/10.1177_20552076251339522-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cec4/12134509/0dbc021049b5/10.1177_20552076251339522-fig1.jpg

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J Med Internet Res. 2024 Aug 23;26:e55717. doi: 10.2196/55717.
2
Preparing for an Artificial Intelligence-Enabled Future: Patient Perspectives on Engagement and Health Care Professional Training for Adopting Artificial Intelligence Technologies in Health Care Settings.为人工智能时代做准备:患者对医疗保健环境中采用人工智能技术的参与度及医护人员培训的看法
JMIR AI. 2023 Mar 2;2:e40973. doi: 10.2196/40973.
3
Artificial intelligence and explanation: How, why, and when to explain black boxes.
人工智能与解释:如何、为何以及何时解释黑箱。
Eur J Radiol. 2024 Apr;173:111393. doi: 10.1016/j.ejrad.2024.111393. Epub 2024 Feb 23.
4
Expectation of clinical decision support systems: a survey study among nephrologist end-users.临床决策支持系统的期望:肾病专家终端用户的调查研究。
BMC Med Inform Decis Mak. 2023 Oct 26;23(1):239. doi: 10.1186/s12911-023-02317-x.
5
Patients' perspectives on digital health tools.患者对数字健康工具的看法。
PEC Innov. 2023 May 26;2:100171. doi: 10.1016/j.pecinn.2023.100171. eCollection 2023 Dec.
6
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Head Face Med. 2023 Jun 22;19(1):23. doi: 10.1186/s13005-023-00368-z.
7
Trustworthy artificial intelligence and ethical design: public perceptions of trustworthiness of an AI-based decision-support tool in the context of intrapartum care.值得信赖的人工智能和道德设计:公众对基于人工智能的决策支持工具在产时护理背景下的可信度的看法。
BMC Med Ethics. 2023 Jun 20;24(1):42. doi: 10.1186/s12910-023-00917-w.
8
Responsibility and decision-making authority in using clinical decision support systems: an empirical-ethical exploration of German prospective professionals' preferences and concerns.使用临床决策支持系统的责任和决策权限:德国准专业人员偏好和关注的实证伦理探索。
J Med Ethics. 2023 Dec 14;50(1):6-11. doi: 10.1136/jme-2022-108814.
9
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BMJ Health Care Inform. 2023 May;30(1). doi: 10.1136/bmjhci-2022-100712.
10
Diverse patients' attitudes towards Artificial Intelligence (AI) in diagnosis.不同患者对人工智能在诊断中的态度。
PLOS Digit Health. 2023 May 19;2(5):e0000237. doi: 10.1371/journal.pdig.0000237. eCollection 2023 May.