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医生对医疗保健中人工智能的态度与接受度:德国的一项定性研究

Physicians' attitudes and acceptance towards artificial intelligence in medical care: a qualitative study in Germany.

作者信息

Negash Sarah, Gundlack Jana, Buch Charlotte, Apfelbacher Timo, Schildmann Jan, Frese Thomas, Christoph Jan, Mikolajczyk Rafael

机构信息

Institute for Medical Epidemiology, Biometrics and Informatics, Interdisciplinary Center for Health Sciences, Medical Faculty of the Martin Luther University Halle-Wittenberg, Halle (Saale), Germany.

Institute of General Practice & Family Medicine, Interdisciplinary Center of Health Sciences, Medical Faculty of the Martin Luther University Halle-Wittenberg, Halle (Saale), Germany.

出版信息

Front Digit Health. 2025 Jul 14;7:1616827. doi: 10.3389/fdgth.2025.1616827. eCollection 2025.


DOI:10.3389/fdgth.2025.1616827
PMID:40727617
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12301400/
Abstract

BACKGROUND: The role of artificial intelligence (AI) in medicine is rapidly expanding, with the potential to transform physicians' working practices across various areas of medical care. As part of the PEAK project (Perspectives on the Use and Acceptance of Artificial Intelligence in Medical Care) this study aimed to investigate physicians' attitudes towards and acceptance of AI in medical care. METHODS: Between June 2022 and January 2023 eight semi-structured focus groups (FGs) were conducted with general practitioners (GPs) recruited from practices in the region of Halle/Leipzig, Germany, via email and postal mail, as well as with university hospital physicians from Halle and Erlangen, recruited via email. To conduct the FGs, a topic guide and a video stimulus were developed, including a definition of AI and three potential applications in medical care. Transcribed FGs and field notes were analyzed using qualitative content analysis. RESULTS: 39 physicians participated in eight FGs, including 15 GPs [80% male, mean age 44 years, standard deviation (SD) 10.4] and 24 hospital physicians (67% male, mean age 42 years, SD 8.6) from specialties including anesthesiology, neurosurgery, and occupational medicine. Physicians' statements were categorized into four themes: acceptance, physician-patient relationship, AI development and implementation, and application areas. Each theme was illustrated with selected participant quotations to highlight key aspects. Key factors promoting AI acceptance included human oversight, reliance on scientific evidence and non-profit funding. Concerns about AI's impact on the physician-patient relationship focused on reduced patient interaction time, with participants emphasizing the importance of maintaining a human connection. Key prerequisites for AI implementation included legal standards, like clarifying responsibilities and robust data protection measures. Most physicians were skeptical about the use of AI in tasks requiring empathy and human attention, like psychotherapy and caregiving. Potential areas of application included early diagnosis, screening, and repetitive, data-intensive processes. CONCLUSION: Most participants expressed openness to the use of AI in medicine, provided that human oversight is ensured, data protection measures are implemented, and regulatory barriers are addressed. Physicians emphasized interpersonal relationships as irreplaceable by AI. Understanding physicians' perspectives is essential for developing effective and practical AI applications for medical care settings.

摘要

背景:人工智能(AI)在医学领域的作用正在迅速扩大,有可能改变医生在医疗保健各个领域的工作方式。作为PEAK项目(医疗保健中人工智能使用与接受的观点)的一部分,本研究旨在调查医生对医疗保健中人工智能的态度和接受程度。 方法:2022年6月至2023年1月期间,通过电子邮件和邮政信件,对从德国哈雷/莱比锡地区的诊所招募的全科医生(GPs)以及通过电子邮件招募的哈雷和埃尔朗根大学医院的医生进行了8个半结构化焦点小组(FGs)访谈。为了进行焦点小组访谈,制定了一个主题指南和一个视频刺激材料,包括人工智能的定义以及在医疗保健中的三个潜在应用。使用定性内容分析法对转录的焦点小组访谈内容和现场笔记进行了分析。 结果:39名医生参与了8个焦点小组,其中包括15名全科医生[男性占80%,平均年龄44岁,标准差(SD)10.4]和24名医院医生(男性占67%,平均年龄42岁,标准差8.6),他们来自麻醉学、神经外科和职业医学等专业。医生的陈述被分为四个主题:接受程度、医患关系、人工智能的开发与实施以及应用领域。每个主题都用选定的参与者引述来说明关键方面。促进人工智能接受的关键因素包括人为监督、对科学证据的依赖和非营利性资金。对人工智能对医患关系影响的担忧集中在患者互动时间减少上,参与者强调保持人际联系的重要性。人工智能实施的关键先决条件包括法律标准,如明确责任和强有力的数据保护措施。大多数医生对在需要同理心和人文关怀的任务(如心理治疗和护理)中使用人工智能持怀疑态度。潜在的应用领域包括早期诊断、筛查以及重复性的数据密集型流程。 结论:大多数参与者表示愿意在医学中使用人工智能,前提是确保人为监督、实施数据保护措施并解决监管障碍。医生强调人际关系是人工智能无法替代的。了解医生的观点对于开发适用于医疗保健环境的有效且实用的人工智能应用至关重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a81e/12301400/9c80109aebea/fdgth-07-1616827-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a81e/12301400/9c80109aebea/fdgth-07-1616827-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a81e/12301400/9c80109aebea/fdgth-07-1616827-g001.jpg

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本文引用的文献

[1]
Artificial Intelligence in Medical Care - Patients' Perceptions on Caregiving Relationships and Ethics: A Qualitative Study.

Health Expect. 2025-4

[2]
Examining inclusivity: the use of AI and diverse populations in health and social care: a systematic review.

BMC Med Inform Decis Mak. 2025-2-5

[3]
The Use of AI in Mental Health Services to Support Decision-Making: Scoping Review.

J Med Internet Res. 2025-1-24

[4]
Physicians' ethical concerns about artificial intelligence in medicine: a qualitative study: .

Front Public Health. 2024-11-27

[5]
The wizard of artificial intelligence: Are physicians prepared?

J Family Community Med. 2024

[6]
Da Vinci robot-assisted surgery for deep lobe of parotid benign tumor via retroauricular hairline approach: Exploration of a new surgical method for parotid tumors.

Oral Oncol. 2024-12

[7]
Mapping the regulatory landscape for artificial intelligence in health within the European Union.

NPJ Digit Med. 2024-8-27

[8]
How the EU AI Act Seeks to Establish an Epistemic Environment of Trust.

Asian Bioeth Rev. 2024-6-24

[9]
Medical doctor's perception of artificial intelligence during the COVID-19 era: A mixed methods study.

J Family Med Prim Care. 2024-5

[10]
The Role of AI in Hospitals and Clinics: Transforming Healthcare in the 21st Century.

Bioengineering (Basel). 2024-3-29

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