人工智能在护理中的应用：护理与人工智能领导力协作国际特邀智囊团的优先事项和机遇。
Artificial intelligence in nursing: Priorities and opportunities from an international invitational think-tank of the Nursing and Artificial Intelligence Leadership Collaborative.
机构信息
Daphne Cockwell School of Nursing, Faculty of Community Services, Ryerson University, Toronto, ON, Canada.
School of Nursing, Faculty of Health and Social Development, University of British Columbia Okanagan, Kelowna, BC, Canada.
出版信息
J Adv Nurs. 2021 Sep;77(9):3707-3717. doi: 10.1111/jan.14855. Epub 2021 May 18.
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.
目的
就护理与人工智能（AI）国际特邀智囊团的核心要点制定一份共识文件。
方法
我们成立了护理与人工智能领导力（NAIL）协作组织，成员包括 AI 开发、生物医学伦理、初级保健中的 AI、AI 法律方面、健康领域的 AI 哲学、护理实践、实施科学、卫生信息学实践和国际卫生信息学团体的跨学科专家、患者和公众的代表，以及国际电联/世卫组织人工智能卫生焦点小组主席。NAIL 协作组织于 2019 年秋季举行了为期 3 天的特邀智囊团会议。活动包括会前调查、专家演讲和工作组会议，以确定行动的优先领域、机会和建议。在本文中，我们总结了上述活动的主要讨论要点和笔记。
对护理的意义
护理在 AI 和健康方面的讨论中参与度有限，这使得该专业可能无法参与对护理实践有重大影响的对话。
结论
护理专业需要及时成为医疗保健系统中 AI 对话的领导者和推动者，因为目前存在许多差距。
影响
我们概述了护理在塑造医疗保健系统中 AI 使用方面需要发挥领导作用的关键差距。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）护士需要在 AI 的所有阶段都有意义地参与：从开发到实施；（c）护理在为全球健康和人道主义努力开发 AI 技术方面具有巨大的未开发和未探索的潜力。
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