Gonzalez-Garcia Alberto, Pérez-González Silvia, Benavides Carmen, Pinto-Carral Arrate, Quiroga-Sánchez Enedina, Marqués-Sánchez Pilar
Faculty of Health Sciences, Nursing and Physiotherapy Department, University of Leon, León 24007, Spain.
Department of Electric, Systems and Automatic Engineering, SALBIS Research Group, University of Leon, León 24007, Spain.
J Nurs Manag. 2024 Oct 12;2024:3537964. doi: 10.1155/2024/3537964. eCollection 2024.
To describe the use of artificial intelligence (AI) by nurse managers to enhance management, leadership, and healthcare outcomes. 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. 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. 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. 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. 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.
描述护理管理者如何利用人工智能（AI）来加强管理、领导能力和改善医疗保健结果。人工智能通过增强决策制定、沟通和资源优化，代表了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，特别是其对领导角色和医疗服务提供的影响。遵循PRISMA描述的方法指南，并使用乔安娜·布里格斯研究所（JBI）的方法评估质量。搜索的数据库包括科学网、Scopus、CINAHLi和PubMed。该综述纳入了2015年1月至2024年4月期间发表的定量、定性和混合方法研究。14项研究被选入该综述。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、风险评估和决策制定。人工智能还支持护理管理者引领变革、加强沟通和优化行政任务。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显示出显著益处。然而，诸如对技术变革的抵制和伦理复杂性等挑战需要得到解决。为护理管理者制定特定的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的管理和数据分析。此外，创建由护理管理者、人工智能开发者和护理人员组成的跨学科团队对于定制人工智能解决方案以满足医疗保健环境的独特需求至关重要。
