Exploring the experiences and views of doctors working with Artificial Intelligence in English healthcare; a qualitative study.
Exploring the experiences and views of doctors working with Artificial Intelligence in English healthcare; a qualitative study.
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DOI：
10.1371/journal.pone.0282415
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发表时间：
2023
期刊：
影响因子：
3.7
通讯作者：
中科院分区：
文献类型：
--
作者：
英国国家医疗服务体系（NHS）渴望成为人工智能（AI）在医疗保健领域的世界领导者，然而，在翻译和实施方面存在一些障碍。NHS内人工智能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，总体上缺乏对人工智能的认识和参与。这项定性研究探讨了在NHS探索中与人工智能合作的医生开发人员的经验和观点；他们在医疗人工智能话语中的作用，他们对更广泛地实施人工智能的看法，以及他们如何看待医生与人工智能技术的接触在未来可能会增加。这项研究包括11个半结构化的一对一访谈，访谈对象是在英国医疗保健领域使用人工智能的医生。对数据进行了专题分析。研究结果表明，医生进入人工智能领域有一条非结构化的途径。医生们描述了他们在职业生涯中遇到的各种挑战，其中许多挑战来自于在商业和技术环境中操作的不同要求。一线医生的认知和参与度很低，两个主要障碍是围绕人工智能的炒作和缺乏保护时间。医生的参与对人工智能的发展和采用都至关重要。人工智能在医疗领域提供了巨大的潜力，但仍处于起步阶段。为了让NHS利用人工智能的好处，它必须教育和授权当前和未来的医生。这可以通过以下方式实现；在医学本科课程中提供信息教育，保护现有医生发展理解的时间，并为NHS医生探索这一领域提供灵活的机会。
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. 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. 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. 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. 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.
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影响因子：
5.9
作者：
dos Santos, D. Pinto;Giese, D.;Baessler, B.
通讯作者：
Baessler, B.
影响因子：
158.5
作者：
Campbell, Eric G.;Gruen, Russell L.;Blumenthal, David
通讯作者：
Blumenthal, David
DOI：
10.1136/bmj.m1312
发表时间：
2020-03-20
期刊：
BMJ (Clinical research ed.)
影响因子：
--
作者：
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通讯作者：
Hemingway, Harry
影响因子：
--
作者：
Fjelland, Ragnar
通讯作者：
Fjelland, Ragnar
影响因子：
4.8
作者：
Gong, Bo;Nugent, James P.;Nicolaou, Savvas
通讯作者：
Nicolaou, Savvas