Impact of Artificial Intelligence–Based Technology on Nurse Management: A Systematic Review

IF 3.7 2区 医学 Q2 MANAGEMENT Journal of Nursing Management Pub Date : 2024-10-11 DOI:10.1155/2024/3537964
Nombre Alberto Gonzalez-Garcia, Silvia Pérez-González, Carmen Benavides, Arrate Pinto-Carral, Enedina Quiroga-Sánchez, Pilar Marqués-Sánchez
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Abstract

Aim: To describe the use of artificial intelligence (AI) by nurse managers to enhance management, leadership, and healthcare outcomes.

Background: AI represents a significant transformation in healthcare management by enhancing decision-making, communication, and resource optimization. However, the integration and strategic application of AI in nursing management are underexplored, particularly regarding its impact on leadership roles and healthcare delivery.

Methods: Methodological guidelines described by PRISMA were followed, and quality was assessed using the Joanna Briggs Institute (JBI) methodology. The databases searched included the Web of Science, Scopus, CINAHLi, and PubMed. The review included quantitative, qualitative, and mixed-method studies published between January 2015 and April 2024.

Results: Fourteen studies were selected for the review. The key findings indicate that AI technologies facilitate better resource management, risk assessment, and decision-making. AI also supports nurse managers in leading changes, enhancing communication, and optimizing administrative tasks.

Conclusion: AI has been progressively integrated into nursing management, demonstrating significant benefits in operational efficiency, decision support, and leadership enhancement. However, challenges, such as resistance to technological change and ethical complexities, need to be addressed.

Implications for Nursing Management: Specific training programs for nurse managers are essential to optimize the integration of AI. Such programs should focus on the management of AI applications and data analyses. In addition, creating interdisciplinary groups involving nurse managers, AI developers, and nursing staff is crucial for tailoring AI solutions to meet the unique needs of healthcare settings.

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人工智能技术对护士管理的影响:系统回顾
目的:介绍护士管理者使用人工智能(AI)来提高管理、领导力和医疗成果的情况。 背景:人工智能通过加强决策、沟通和资源优化,代表着医疗保健管理的重大变革。然而,人工智能在护理管理中的整合和战略应用尚未得到充分探索,特别是在其对领导角色和医疗服务的影响方面。 研究方法遵循 PRISMA 所描述的方法指南,并使用乔安娜-布里格斯研究所(JBI)的方法对质量进行评估。检索的数据库包括 Web of Science、Scopus、CINAHLi 和 PubMed。综述包括 2015 年 1 月至 2024 年 4 月间发表的定量、定性和混合方法研究。 结果本次综述共选取了 14 项研究。主要研究结果表明,人工智能技术有助于更好地进行资源管理、风险评估和决策。人工智能还有助于护士管理者领导变革、加强沟通和优化行政任务。 结论人工智能已逐步融入护理管理,在运营效率、决策支持和领导力提升方面展现出显著优势。然而,技术变革的阻力和复杂的伦理问题等挑战仍有待解决。 对护理管理的影响:针对护士管理人员的特定培训计划对于优化人工智能的整合至关重要。此类计划应侧重于人工智能应用和数据分析的管理。此外,建立由护士长、人工智能开发人员和护理人员组成的跨学科小组,对于定制人工智能解决方案以满足医疗机构的独特需求至关重要。
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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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