Quo vadis, "AI-empowered Doctor"?

IF 3.2 Q1 EDUCATION, SCIENTIFIC DISCIPLINES
Gary Takahashi, Laurentius von Liechti, Ebrahim Tarshizi
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引用次数: 0

Abstract

Unstructured: In the first decade of this century, physicians maintained considerable professional autonomy, enabling discretionary evaluation and implementation of these technologies according to individual practice requirements. The past decade, however, has witnessed significant restructuring of medical practice patterns, with most physicians transitioning to employed status. Concurrently, technological advances and other incentives drove the implementation of electronic systems into the clinic, which these physicians were compelled to integrate. Healthcare practitioners have now been introduced to applications based on Large Language Models, largely driven by AI developers as well as established EHR vendors eager to incorporate these innovations. While Generative AI assistance promises enhanced clinical efficiency and diagnostic precision, its rapid advancement may potentially redefine clinical provider roles and transform workflows, as it has already altered expectations of physician productivity, as well as introduced unprecedented liability considerations. Recognition of the input of physicians and other clinical stakeholders in this nascent stage of AI integration is essential. This requires a more comprehensive understanding of AI as a sophisticated clinical tool. Accordingly, we advocate for its systematic incorporation into standard medical curriculum.

非结构化:在本世纪的第一个十年,医生保持了相当大的专业自主权,可以根据个人实践要求自由评估和实施这些技术。然而,过去十年见证了医疗实践模式的重大重组,大多数医生过渡到就业状态。与此同时,技术进步和其他激励措施推动了电子系统在诊所的实施,这些医生被迫将其整合。医疗保健从业者现在已经被引入到基于大型语言模型的应用程序中,这主要是由人工智能开发人员以及渴望整合这些创新的知名EHR供应商推动的。虽然生成式人工智能辅助有望提高临床效率和诊断精度,但它的快速发展可能会重新定义临床提供者的角色并改变工作流程,因为它已经改变了对医生生产力的期望,并引入了前所未有的责任考虑。在人工智能整合的这个初级阶段,认识到医生和其他临床利益相关者的投入是至关重要的。这需要更全面地理解人工智能作为一种复杂的临床工具。因此,我们主张将其系统地纳入标准医学课程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
JMIR Medical Education
JMIR Medical Education Social Sciences-Education
CiteScore
6.90
自引率
5.60%
发文量
54
审稿时长
8 weeks
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