Trends in artificial intelligence in nursing: Impacts on nursing management

IF 3.7 2区 医学 Q2 MANAGEMENT
Ching-Yi Chang PhD, RN, Hsiu-Ju Jen MSN, RN, Dr. Wen-Song Su MD, Dr
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引用次数: 6

Abstract

Objective

To investigate the academic use of artificial intelligence (AI) in nursing.

Background

A bibliometric analysis combined with the VOSviewer software quantification method has been utilized for a literature analysis. In recent years, this approach has attracted the interest of scholars in various research fields. Thus far, there is no publication using bibliometric analysis combined with the VOSviewer software to analyse the applications of AI in nursing.

Method

A bibliometric analysis methodology was used to search for relevant articles published between 1984 and March 2022. Six databases, Embase, Scopus, PubMed, CINAHL, WoS and MEDLINE, were included to identify relevant studies, and data such as the year of publication, journals, country, institutional source, field and keywords were analysed.

Results

Most relevant articles were published from institutions in the United States. The League of European Research Universities has published most research studies that use AI and nursing. Scholars have mainly focused on nursing, medical informatics, computer science AI, healthcare sciences services and physics particles fields. Commonly used keywords were machine learning, care, AI, natural language processing, prediction and nurse.

Conclusion

Research articles were mainly published in Nurse Education Today. Research topics such as AI-assisted medical recording and medical decision making were also identified. According to this study, AI in nursing has the potential to attract more attention from researchers and nursing managers. Additional high-quality research beyond the scope of medical education, as well as on cross-domain collaboration, is warranted to explore the acceptability and effective implementation of AI technologies.

Implications for Nursing Management

This study provides scholars and nursing managers with structured information regarding the use of AI in nursing based on scientific and technological developments across different fields and institutions. The application of AI can improve nursing management, nursing quality, safety management and team communication, as well as encourage future international collaboration.

人工智能在护理中的发展趋势:对护理管理的影响
目的探讨人工智能(AI)在护理中的学术应用。采用文献计量学分析结合VOSviewer软件量化方法进行文献分析。近年来,这种方法引起了各个研究领域学者的兴趣。到目前为止,还没有文献计量学分析结合VOSviewer软件来分析人工智能在护理中的应用。方法采用文献计量学分析方法,检索1984年至2022年3月间发表的相关文献。纳入Embase、Scopus、PubMed、CINAHL、WoS和MEDLINE 6个数据库,识别相关研究,并对发表年份、期刊、国家、机构来源、领域和关键词等数据进行分析。结果大部分相关文章发表于美国相关机构。欧洲研究型大学联盟发表了最多使用人工智能和护理的研究报告。学者主要集中在护理学、医学信息学、计算机科学人工智能、医疗保健科学服务和物理粒子领域。常用的关键词是机器学习、护理、人工智能、自然语言处理、预测和护理。结论研究论文以《今日护士教育》为主。还确定了人工智能辅助医疗记录和医疗决策等研究课题。根据这项研究,人工智能在护理领域有可能吸引更多研究人员和护理管理者的关注。有必要在医学教育范围之外进行更多的高质量研究,以及跨领域合作,以探索人工智能技术的可接受性和有效实施。本研究为学者和护理管理者提供了基于不同领域和机构的科学和技术发展的人工智能在护理中的应用的结构化信息。人工智能的应用可以改善护理管理、护理质量、安全管理和团队沟通,并促进未来的国际合作。
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
CiteScore
9.40
自引率
14.50%
发文量
377
审稿时长
4-8 weeks
期刊介绍: The Journal of Nursing Management is an international forum which informs and advances the discipline of nursing management and leadership. The Journal encourages scholarly debate and critical analysis resulting in a rich source of evidence which underpins and illuminates the practice of management, innovation and leadership in nursing and health care. It publishes current issues and developments in practice in the form of research papers, in-depth commentaries and analyses. The complex and rapidly changing nature of global health care is constantly generating new challenges and questions. The Journal of Nursing Management welcomes papers from researchers, academics, practitioners, managers, and policy makers from a range of countries and backgrounds which examine these issues and contribute to the body of knowledge in international nursing management and leadership worldwide. The Journal of Nursing Management aims to: -Inform practitioners and researchers in nursing management and leadership -Explore and debate current issues in nursing management and leadership -Assess the evidence for current practice -Develop best practice in nursing management and leadership -Examine the impact of policy developments -Address issues in governance, quality and safety
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