文献检索文档翻译深度研究
Suppr Zotero 插件Zotero 插件
邀请有礼套餐&价格历史记录

新学期,新优惠

限时优惠:9月1日-9月22日

30天高级会员仅需29元

1天体验卡首发特惠仅需5.99元

了解详情
不再提醒
插件&应用
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
高级版
套餐订阅购买积分包
AI 工具
文献检索文档翻译深度研究
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2025

医疗保健领域对人工智能的看法:法国利益相关者定性调查研究的结果。

Perceptions of artificial intelligence in healthcare: findings from a qualitative survey study among actors in France.

机构信息

Cordeliers Research Centre, INSERM, Sorbonne University, USPC, University Paris Descartes, University Paris Diderot, ETRES Host Team, 75006, Paris, France.

Paris District Court, Paris, France.

出版信息

J Transl Med. 2020 Jan 9;18(1):14. doi: 10.1186/s12967-019-02204-y.


DOI:10.1186/s12967-019-02204-y
PMID:31918710
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6953249/
Abstract

BACKGROUND: Artificial intelligence (AI), with its seemingly limitless power, holds the promise to truly revolutionize patient healthcare. However, the discourse carried out in public does not always correlate with the actual impact. Thus, we aimed to obtain both an overview of how French health professionals perceive the arrival of AI in daily practice and the perception of the other actors involved in AI to have an overall understanding of this issue. METHODS: Forty French stakeholders with diverse backgrounds were interviewed in Paris between October 2017 and June 2018 and their contributions analyzed using the grounded theory method (GTM). RESULTS: The interviews showed that the various actors involved all see AI as a myth to be debunked. However, their views differed. French healthcare professionals, who are strategically placed in the adoption of AI tools, were focused on providing the best and safest care for their patients. Contrary to popular belief, they are not always seeing the use of these tools in their practice. For healthcare industrial partners, AI is a true breakthrough but legal difficulties to access individual health data could hamper its development. Institutional players are aware that they will have to play a significant role concerning the regulation of the use of these tools. From an external point of view, individuals without a conflict of interest have significant concerns about the sustainability of the balance between health, social justice, and freedom. Health researchers specialized in AI have a more pragmatic point of view and hope for a better transition from research to practice. CONCLUSION: Although some hyperbole has taken over the discourse on AI in healthcare, diverse opinions and points of view have emerged among French stakeholders. The development of AI tools in healthcare will be satisfactory for everyone only by initiating a collaborative effort between all those involved. It is thus time to also consider the opinion of patients and, together, address the remaining questions, such as that of responsibility.

摘要

背景:人工智能(AI)拥有似乎无限的力量,有望真正彻底改变患者的医疗保健方式。然而,公众的讨论并不总是与实际影响相关。因此,我们旨在了解法国卫生专业人员如何看待 AI 在日常实践中的到来,以及其他相关利益方对 AI 的看法,从而全面了解这一问题。

方法:2017 年 10 月至 2018 年 6 月期间,在巴黎对 40 名背景各异的法国利益相关者进行了采访,并使用扎根理论方法(GTM)对他们的贡献进行了分析。

结果:访谈表明,所有相关利益方都将 AI 视为一个需要破除的神话。然而,他们的观点存在差异。法国医疗保健专业人员处于采用 AI 工具的战略位置,专注于为患者提供最佳和最安全的护理。与普遍看法相反,他们在实践中并不总是看到这些工具的使用。对于医疗保健产业合作伙伴而言,AI 是一个真正的突破,但获取个人健康数据的法律困难可能会阻碍其发展。机构参与者意识到,他们将必须在这些工具的使用监管方面发挥重要作用。从外部角度来看,没有利益冲突的个人对健康、社会公正和自由之间的平衡可持续性表示严重关切。专门研究 AI 的健康研究人员持更务实的观点,希望更好地从研究过渡到实践。

结论:尽管在医疗保健领域 AI 的讨论中存在一些夸大其词的说法,但法国利益相关者之间已经出现了不同的意见和观点。只有通过所有相关方共同开展合作,才能使 AI 工具在医疗保健领域的发展令所有人满意。因此,现在也应该考虑患者的意见,并共同解决剩下的问题,例如责任问题。

相似文献

[1]
Perceptions of artificial intelligence in healthcare: findings from a qualitative survey study among actors in France.

J Transl Med. 2020-1-9

[2]
Assessment of Saudi Public Perceptions and Opinions towards Artificial Intelligence in Health Care.

Medicina (Kaunas). 2024-6-4

[3]
ARTIFICIAL INTELLIGENCE IN MEDICAL PRACTICE: REGULATIVE ISSUES AND PERSPECTIVES.

Wiad Lek. 2020

[4]
Utopia versus dystopia: Professional perspectives on the impact of healthcare artificial intelligence on clinical roles and skills.

Int J Med Inform. 2023-1

[5]
The Saudi Community View of the Use of Artificial Intelligence in Health Care.

Ann Afr Med. 2024-7-1

[6]
Surveying Public Perceptions of Artificial Intelligence in Health Care in the United States: Systematic Review.

J Med Internet Res. 2023-4-4

[7]
Justice at the Forefront: Cultivating felt accountability towards Artificial Intelligence among healthcare professionals.

Soc Sci Med. 2024-4

[8]
Perceptions of the Impact of Artificial Intelligence among Internal Medicine Physicians as a Step in Social Responsibility Implementation: A Cross-Sectional Study.

Healthcare (Basel). 2024-7-29

[9]
Public perceptions of artificial intelligence in healthcare: ethical concerns and opportunities for patient-centered care.

BMC Med Ethics. 2024-6-22

[10]
Explainability for artificial intelligence in healthcare: a multidisciplinary perspective.

BMC Med Inform Decis Mak. 2020-11-30

引用本文的文献

[1]
Barriers and facilitators to nurses' adoption of artificial intelligence-driven solutions in clinical practice: a protocol for a systematic review of qualitative studies.

BMJ Open. 2025-8-21

[2]
Artificial intelligence in personalized rehabilitation: current applications and a SWOT analysis.

Front Digit Health. 2025-7-24

[3]
Does your generation influence your perception of the application of Artificial Intelligence in medicine?

Eur Arch Otorhinolaryngol. 2025-8-7

[4]
Medical and Paramedical Students' Perspectives on Artificial Intelligence in a Low- and Middle-Income Country: A Cross-Sectional Study.

Health Sci Rep. 2025-8-4

[5]
Advancing artificial intelligence ethics in health and genomics: lessons from a public survey in South Korea.

Front Genet. 2025-7-9

[6]
The acceptance of ophthalmic artificial intelligence for eye diseases: a literature review and qualitative analysis.

Eye (Lond). 2025-6-13

[7]
Patients' Perceptions of Artificial Intelligence Acceptance, Challenges, and Use in Medical Care: Qualitative Study.

J Med Internet Res. 2025-5-15

[8]
Exploring Patient Participation in AI-Supported Health Care: Qualitative Study.

JMIR AI. 2025-5-5

[9]
Assessment of Knowledge, Practice, Perception, and Expectations of Artificial Intelligence in Medical Care among Staff of a Tertiary Hospital.

Ethiop J Health Sci. 2024-7

[10]
Overcoming barriers and enabling artificial intelligence adoption in allied health clinical practice: A qualitative study.

Digit Health. 2025-2-3

本文引用的文献

[1]
Patient-Centered Outcomes After Modified Vestibulectomy.

Obstet Gynecol. 2020-1

[2]
Potential Liability for Physicians Using Artificial Intelligence.

JAMA. 2019-11-12

[3]
Patients' views of wearable devices and AI in healthcare: findings from the ComPaRe e-cohort.

NPJ Digit Med. 2019-6-14

[4]
Data mining for health: staking out the ethical territory of digital phenotyping.

NPJ Digit Med. 2018

[5]
Governance of automated image analysis and artificial intelligence analytics in healthcare.

Clin Radiol. 2019-3-19

[6]
Artificial Intelligence and the Future of Primary Care: Exploratory Qualitative Study of UK General Practitioners' Views.

J Med Internet Res. 2019-3-20

[7]
Global Evolution of Research in Artificial Intelligence in Health and Medicine: A Bibliometric Study.

J Clin Med. 2019-3-14

[8]
Policies designed for drugs won't work for AI.

Nature. 2019-3

[9]
Societal Issues Concerning the Application of Artificial Intelligence in Medicine.

Kidney Dis (Basel). 2019-2

[10]
How people living with diabetes in Indonesia learn about their disease: A grounded theory study.

PLoS One. 2019-2-22

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

推荐工具

医学文档翻译智能文献检索