护理SCI晨读:护理中的人工智能:优先事项和机会

2021
06/22

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NursingResearch护理研究前
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在国际邀请的智囊团关于护理和人工智能(AI)的中心问题上达成共识性文件。

护理SCI晨读:

护理中的人工智能:护理和人工智能领导力合作组织国际智囊团的优先事项和机会

 


摘要

目标

在国际邀请的智囊团关于护理和人工智能(AI)的中心问题上达成共识性文件。

方法

我们建立了护理与人工智能领导力(NAIL)合作组织,成员包括AI开发,生物医学伦理学,初级保健中AI的AI跨学科专家,AI法律方面,健康,护理实践,实施科学的AI哲学,健康信息学实践的领导者以及国际卫生信息学团体,患者代表和公众代表以及ITU / WHO人工智能促进健康焦点小组主席。NAIL合作组织于2019年秋季在为期3天的邀请智囊团上召开。活动包括基线调查,专家演讲和工作会议,以确定优先行动领域、解决这些问题的机会和建议。在本文中,我们总结了上述活动的关键讨论要点和注意事项。

对护理的意义

护理人员目前很少参与有关AI和健康的课程,因此存在以下风险:该专业不在对话中,这可能会对护理实践产生重大影响。

结论

在卫生系统中围绕AI进行对话的领导者和驱动者之间,存在许多空白,并且迫切需要护理专业。

影响

我们概述了关键的差距,在这些差距中,需要护理在塑造卫生系统中的AI使用方面发挥领导作用。确定了三个需要在不久的将来解决的优先事项:(a)护士必须了解他们收集的数据与他们使用的AI技术之间的关系;(b)护士需要有意义地参与人工智能的各个阶段:从开发到实施;(c)护理具有巨大的尚未开发和未开发的潜力,可为开发AI技术以促进全球卫生和人道主义努力做出贡献。

Abstract

Aim

To develop a consensus paper on the central points of an international invitational think-tank on nursing and artificial intelligence (AI).

Methods

We established the Nursing and Artificial Intelligence Leadership (NAIL) Collaborative, comprising interdisciplinary experts in AI development, biomedical ethics, AI in primary care, AI legal aspects, philosophy of AI in health, nursing practice, implementation science, leaders in health informatics practice and international health informatics groups, a representative of patients and the public, and the Chair of the ITU/WHO Focus Group on Artificial Intelligence for Health. The NAIL Collaborative convened at a 3-day invitational think tank in autumn 2019. Activities included a pre-event survey, expert presentations and working sessions to identify priority areas for action, opportunities and recommendations to address these. In this paper, we summarize the key discussion points and notes from the aforementioned activities.

Implications for nursing

Nursing's limited current engagement with discourses on AI and health posts a risk that the profession is not part of the conversations that have potentially significant impacts on nursing practice.

Conclusion

There are numerous gaps and a timely need for the nursing profession to be among the leaders and drivers of conversations around AI in health systems.

Impact

We outline crucial gaps where focused effort is required for nursing to take a leadership role in shaping AI use in health systems. Three priorities were identified that need to be addressed in the near future: (a) Nurses must understand the relationship between the data they collect and AI technologies they use; (b) Nurses need to be meaningfully involved in all stages of AI: from development to implementation; and (c) There is a substantial untapped and an unexplored potential for nursing to contribute to the development of AI technologies for global health and humanitarian efforts.



原文链接:

https://onlinelibrary.wiley.com/doi/full/10.1111/jan.14855


本文由作者自行上传,并且作者对本文图文涉及知识产权负全部责任。如有侵权请及时联系(邮箱:nanxingjun@hmkx.cn
关键词:
人工智能,SCI,护理,晨读,AI,国际,领导

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