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探索利益相关者对临床实践中人工智能的态度。

Exploring stakeholder attitudes towards AI in clinical practice.

机构信息

Internal Medicine and Clinical Epidemiology, Princess Alexandra Hospital, Woolloongabba, Queensland, Australia

School of Clinical Medicine, University of Queensland, Brisbane, Queensland, Australia.

出版信息

BMJ Health Care Inform. 2021 Dec;28(1). doi: 10.1136/bmjhci-2021-100450.

Abstract

OBJECTIVES

Different stakeholders may hold varying attitudes towards artificial intelligence (AI) applications in healthcare, which may constrain their acceptance if AI developers fail to take them into account. We set out to ascertain evidence of the attitudes of clinicians, consumers, managers, researchers, regulators and industry towards AI applications in healthcare.

METHODS

We undertook an exploratory analysis of articles whose titles or abstracts contained the terms 'artificial intelligence' or 'AI' and 'medical' or 'healthcare' and 'attitudes', 'perceptions', 'opinions', 'views', 'expectations'. Using a snowballing strategy, we searched PubMed and Google Scholar for articles published 1 January 2010 through 31 May 2021. We selected articles relating to non-robotic clinician-facing AI applications used to support healthcare-related tasks or decision-making.

RESULTS

Across 27 studies, attitudes towards AI applications in healthcare, in general, were positive, more so for those with direct experience of AI, but provided certain safeguards were met. AI applications which automated data interpretation and synthesis were regarded more favourably by clinicians and consumers than those that directly influenced clinical decisions or potentially impacted clinician-patient relationships. Privacy breaches and personal liability for AI-related error worried clinicians, while loss of clinician oversight and inability to fully share in decision-making worried consumers. Both clinicians and consumers wanted AI-generated advice to be trustworthy, while industry groups emphasised AI benefits and wanted more data, funding and regulatory certainty.

DISCUSSION

Certain expectations of AI applications were common to many stakeholder groups from which a set of dependencies can be defined.

CONCLUSION

Stakeholders differ in some but not all of their attitudes towards AI. Those developing and implementing applications should consider policies and processes that bridge attitudinal disconnects between different stakeholders.

摘要

目的

不同利益相关者可能对医疗保健中的人工智能(AI)应用持有不同的态度,如果 AI 开发者未能考虑到这些态度,可能会限制他们对 AI 的接受程度。我们旨在确定临床医生、消费者、管理者、研究人员、监管机构和行业对医疗保健中 AI 应用的态度的证据。

方法

我们对标题或摘要中包含“人工智能”或“AI”以及“医疗”或“保健”和“态度”、“看法”、“意见”、“观点”、“期望”的文章进行了探索性分析。我们使用滚雪球策略,在 PubMed 和 Google Scholar 上搜索了 2010 年 1 月 1 日至 2021 年 5 月 31 日期间发表的文章。我们选择了与非机器人临床医生使用的支持医疗相关任务或决策制定的 AI 应用相关的文章。

结果

在 27 项研究中,对医疗保健中 AI 应用的态度总体上是积极的,对于那些有直接 AI 经验的人来说更是如此,但前提是满足某些保障措施。临床医生和消费者更倾向于那些自动进行数据解释和综合的 AI 应用,而不是那些直接影响临床决策或可能影响医患关系的应用。隐私泄露和与 AI 相关的错误的个人责任让临床医生感到担忧,而失去临床医生的监督和无法完全参与决策让消费者感到担忧。临床医生和消费者都希望 AI 生成的建议值得信赖,而行业团体则强调 AI 的好处,并希望获得更多的数据、资金和监管确定性。

讨论

许多利益相关者群体对 AI 应用有某些共同的期望,可以从中定义一组依赖关系。

结论

不同利益相关者对 AI 的态度在某些方面存在差异,但并非所有方面都存在差异。开发和实施应用程序的人员应考虑制定政策和流程,以弥合不同利益相关者之间的态度差距。

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