Experiences of using artificial intelligence in healthcare: a qualitative study of UK clinician and key stakeholder perspectives.
Experiences of using artificial intelligence in healthcare: a qualitative study of UK clinician and key stakeholder perspectives.
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DOI：
10.1136/bmjopen-2023-076950
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发表时间：
2023-12-11
期刊：
影响因子：
2.9
通讯作者：
中科院分区：
文献类型：
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作者：
人工智能（AI）是医疗保健领域一个快速发展的领域，各种专业正在开发工具，以支持医疗保健专业人员并减少工作量。重要的是要了解医疗保健专业人员的经验，以确保未来的人工智能工具是可接受的和有效的实施。这项研究的目的是深入了解英国医疗保健工作者和其他关键利益相关者对国民医疗服务（NHS）中使用AI的经验和看法。通过MS团队远程进行半结构化访谈的定性研究。进行了专题分析。NHS和英国高等教育机构。招募了13名参与者，包括为NHS工作的临床和非临床参与者以及致力于为医疗保健环境开发AI工具的研究人员。确定了四个核心主题：对人工智能的积极看法;在医疗保健中使用人工智能的潜在障碍;对人工智能使用的担忧以及确保未来人工智能工具可接受性所需的步骤。总的来说，我们发现那些在医疗保健领域工作的人通常对人工智能的使用持开放态度，并期望它能为患者带来许多好处，并促进获得医疗服务。然而，人们对患者数据的安全性、误诊的可能性以及人工智能可能会增加本已紧张的医护人员的负担表示担忧。这项研究发现，医疗保健人员愿意参与人工智能研究，并将人工智能工具纳入护理途径。展望未来，NHS和人工智能开发人员将需要密切合作，以确保未来的工具适合其预期用途，并且不会对工作负载或患者信任产生负面影响。未来的人工智能研究应继续纳入关键利益相关者的观点，以提高工具的可接受性。NCT 05028179; ISRCTN 15113915; IRAS参考号：293515。
Artificial intelligence (AI) is a rapidly developing field in healthcare, with tools being developed across various specialties to support healthcare professionals and reduce workloads. It is important to understand the experiences of professionals working in healthcare to ensure that future AI tools are acceptable and effectively implemented. The aim of this study was to gain an in-depth understanding of the experiences and perceptions of UK healthcare workers and other key stakeholders about the use of AI in the National Health Service (NHS). A qualitative study using semistructured interviews conducted remotely via MS Teams. Thematic analysis was carried out. NHS and UK higher education institutes. Thirteen participants were recruited, including clinical and non-clinical participants working for the NHS and researchers working to develop AI tools for healthcare settings. Four core themes were identified: positive perceptions of AI; potential barriers to using AI in healthcare; concerns regarding AI use and steps needed to ensure the acceptability of future AI tools. Overall, we found that those working in healthcare were generally open to the use of AI and expected it to have many benefits for patients and facilitate access to care. However, concerns were raised regarding the security of patient data, the potential for misdiagnosis and that AI could increase the burden on already strained healthcare staff. This study found that healthcare staff are willing to engage with AI research and incorporate AI tools into care pathways. Going forward, the NHS and AI developers will need to collaborate closely to ensure that future tools are suitable for their intended use and do not negatively impact workloads or patient trust. Future AI studies should continue to incorporate the views of key stakeholders to improve tool acceptability. NCT05028179; ISRCTN15113915; IRAS ref: 293515.
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