Background: The increasing complexity of healthcare necessitates exploring emerging technologies to enhance nursing management. Artificial Intelligence (AI) has shown significant potential in optimizing decision making, improving workflow efficiency, and enhancing resource allocation within nursing leadership. However, its implementation presents both opportunities and challenges, requiring a thorough understanding of its impact on managerial processes. Objective: This scoping review aims to map the existing literature on AI applications in nursing management, identifying key benefits, limitations, ethical considerations, and future directions for AI integration in nursing management. Methods: A scoping review methodology was employed, following the framework of Arksey and O'Malley (2005), refined by Levac et al. (2010), and adhering to the PRISMA-ScR guidelines. A systematic search of English and Persian databases, including PubMed, Web of Science, ProQuest, ScienceDirect, SID, and IranDoc, was conducted for studies published between 2013 and 2024. Thematic analysis was used to categorize findings across major domains of AI in nursing management. Results: Twelve studies were included, featuring diverse methodologies and geographic locations. The key themes identified encompass the applications of AI in nursing management, where AI is utilized for data-driven decision making, workflow automation, staffing optimization, and patient monitoring. Challenges in AI implementation-Key concerns include data privacy, algorithmic bias, staff resistance, and limitations in interoperability. Potential benefits-AI contributes to greater efficiency, alleviates workload, and enhances predictive analytics for patient care. Ethical and practical considerations-There is a necessity for strong regulatory frameworks, training programs, and strategies to ensure the responsible integration of AI. Conclusion: AI presents promising opportunities for nursing management, but its implementation requires careful consideration, including comprehensive training, ethical oversight, and organizational adaptation. Future research should investigate long-term implications, managerial intelligence, and workforce dynamics to enhance AI integration in nursing leadership.
Katebi et al. (Wed,) studied this question.