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人工智能在医疗保健和护理管理中的应用与优先事项之间存在差距吗?

Is there a gap between artificial intelligence applications and priorities in health care and nursing management?

机构信息

Research Center on Social Work and Social Governance in Henan Province, Henan Normal University, Sociology Department, Xinxiang, China.

Shandong Provincial Qianfoshan Hospital, Jinan, Shandong, China.

出版信息

J Nurs Manag. 2022 Nov;30(8):3736-3742. doi: 10.1111/jonm.13851. Epub 2022 Oct 24.

Abstract

AIM

The article aims to outline a contrast between three priorities for nursing management proposed a decade ago and key features of the following 10 years of developments on artificial intelligence for health care and nursing management. This analysis intends to contribute to update the international debate on bridging the essence of health care and nursing management priorities and the focus of artificial intelligence developers.

BACKGROUND

Artificial intelligence research promises innovative approaches to supporting nurses' clinical decision-making and to conduct tasks not related to patient interaction, including administrative activities and patient records. Yet, even though there has been an increase in international research and development of artificial intelligence applications for nursing care during the past 10 years, it is unclear to what extent the priorities of nursing management have been embedded in the devised artificial intelligence solutions.

EVALUATION

Starting from three priorities for nursing management identified in 2011 in a special issue of the Journal Nursing Management, we went on to identify recent evidence concerning 10 years of artificial intelligence applications developed to support health care management and nursing activities since then.

KEY ISSUE

The article discusses to what extent priorities in health care and nursing management may have to be revised while adopting artificial intelligence applications or, alternatively, to what extent the direction of artificial intelligence developments may need to be revised to contribute to long acknowledged priorities of nursing management.

CONCLUSION

We have identified a conceptual gap between both sets of ideas and provide a discussion on the need to bridge that gap, while admitting that there may have been recent field developments still unreported in scientific literature.

IMPLICATIONS FOR NURSING MANAGEMENT

Artificial intelligence developers and health care nursing managers need to be more engaged in coordinating the future development of artificial intelligence applications with a renewed set of nursing management priorities.

摘要

目的

本文旨在对比 10 年前提出的护理管理的三个优先事项,以及随后 10 年在医疗保健和护理管理人工智能方面的发展的主要特征。这项分析旨在为弥合医疗保健和护理管理重点与人工智能开发者关注的本质之间的国际辩论提供帮助。

背景

人工智能研究有望为支持护士的临床决策提供创新方法,并为与患者互动无关的任务提供支持,包括行政活动和患者记录。然而,尽管在过去 10 年中,国际上对护理人工智能应用的研究和开发有所增加,但尚不清楚护理管理的优先事项在设计的人工智能解决方案中得到了多大程度的体现。

评估

从 2011 年《护理管理杂志》特刊中确定的护理管理的三个优先事项出发,我们继续确定了过去 10 年来为支持医疗保健管理和护理活动而开发的人工智能应用的最新证据。

关键问题

本文讨论了在采用人工智能应用时,医疗保健和护理管理的优先事项可能需要在多大程度上进行修订,或者人工智能的发展方向需要在多大程度上进行修订,以促进长期以来护理管理的优先事项。

结论

我们已经确定了这两组想法之间的概念差距,并就需要弥合这一差距进行了讨论,同时承认可能有最近的领域发展尚未在科学文献中报道。

对护理管理的启示

人工智能开发者和医疗保健护理管理者需要更加积极地协调未来人工智能应用的发展,以重新设定一套护理管理优先事项。

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