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探索在英国医疗保健领域中与人工智能合作的医生的经验和观点;一项定性研究。

Exploring the experiences and views of doctors working with Artificial Intelligence in English healthcare; a qualitative study.

机构信息

University of Birmingham Medical School, Birmingham, United Kingdom.

The Strategy Unit, Midlands Lancashire Commissioning Support Unit, Leyland, United Kingdom.

出版信息

PLoS One. 2023 Mar 2;18(3):e0282415. doi: 10.1371/journal.pone.0282415. eCollection 2023.


DOI:10.1371/journal.pone.0282415
PMID:36862694
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9980725/
Abstract

BACKGROUND: The National Health Service (NHS) aspires to be a world leader of Artificial Intelligence (AI) in healthcare, however, there are several barriers facing translation and implementation. A key enabler of AI within the NHS is the education and engagement of doctors, however evidence suggests that there is an overall lack of awareness of and engagement with AI. RESEARCH AIM: This qualitative study explores the experiences and views of doctor developers working with AI within the NHS exploring; their role within medical AI discourse, their views on the implementation of AI more widely and how they consider the engagement of doctors with AI technologies may increase in the future. METHODS: This study involved eleven semi-structured, one-to-one interviews conducted with doctors working with AI in English healthcare. Data was subjected to thematic analysis. RESULTS: The findings demonstrate that there is an unstructured pathway for doctors to enter the field of AI. The doctors described the various challenges they had experienced during their career, with many arising from the differing demands of operating in a commercial and technological environment. The perceived awareness and engagement among frontline doctors was low, with two prominent barriers being the hype surrounding AI and a lack of protected time. The engagement of doctors is vital for both the development and adoption of AI. CONCLUSIONS: AI offers big potential within the medical field but is still in its infancy. For the NHS to leverage the benefits of AI, it must educate and empower current and future doctors. This can be achieved through; informative education within the medical undergraduate curriculum, protecting time for current doctors to develop understanding and providing flexible opportunities for NHS doctors to explore this field.

摘要

背景:国民保健制度(NHS)渴望成为医疗保健领域人工智能(AI)的世界领导者,但在翻译和实施方面存在一些障碍。NHS 内部 AI 的一个关键推动因素是医生的教育和参与,然而,有证据表明,人们普遍缺乏对 AI 的认识和参与。

研究目的:这项定性研究探讨了 NHS 内部从事 AI 工作的医生的经验和观点,探索了他们在医学 AI 话语中的角色、他们对更广泛的 AI 实施的看法,以及他们如何认为未来医生对 AI 技术的参与可能会增加。

方法:本研究涉及对在英国医疗保健领域从事 AI 工作的 11 名医生进行的 11 次半结构式一对一访谈。对数据进行了主题分析。

结果:研究结果表明,医生进入 AI 领域的途径是不规范的。医生们描述了他们在职业生涯中所经历的各种挑战,其中许多挑战来自于在商业和技术环境中运作的不同需求。一线医生的感知意识和参与度较低,两个突出的障碍是 AI 周围的炒作和缺乏受保护的时间。医生的参与对于 AI 的开发和采用至关重要。

结论:AI 在医学领域具有巨大的潜力,但仍处于起步阶段。为了让 NHS 利用 AI 的优势,必须对当前和未来的医生进行教育和赋权。这可以通过在医学本科课程中提供信息丰富的教育、为当前医生提供发展理解的时间并为 NHS 医生提供探索这一领域的灵活机会来实现。

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[5]
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[6]
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本文引用的文献

[1]
Drexit: Understanding why junior doctors leave their training programs to train overseas: An observational study of UK physicians.

Health Sci Rep. 2021-10-8

[2]
A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis.

Lancet Digit Health. 2019-10

[3]
Artificial intelligence versus clinicians: systematic review of design, reporting standards, and claims of deep learning studies.

BMJ. 2020-3-25

[4]
Machine learning and artificial intelligence research for patient benefit: 20 critical questions on transparency, replicability, ethics, and effectiveness.

BMJ. 2020-3-20

[5]
Perceptions of artificial intelligence in healthcare: findings from a qualitative survey study among actors in France.

J Transl Med. 2020-1-9

[6]
Why does the NHS struggle to adopt eHealth innovations? A review of macro, meso and micro factors.

BMC Health Serv Res. 2019-12-21

[7]
Key challenges for delivering clinical impact with artificial intelligence.

BMC Med. 2019-10-29

[8]
Artificial intelligence in primary care.

Br J Gen Pract. 2019-8-29

[9]
The medical AI insurgency: what physicians must know about data to practice with intelligent machines.

NPJ Digit Med. 2019-6-28

[10]
The potential for artificial intelligence in healthcare.

Future Healthc J. 2019-6

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