Artificial Intelligence and Nursing Management: Opportunities, Challenges, and Ethical Considerations-A Scoping...

Area of Science:

• Healthcare Management
• Nursing Informatics
• Technology Adoption in Healthcare

Background:

• Increasing healthcare complexity demands innovative solutions for effective nursing management.
• Artificial Intelligence (AI) presents opportunities to optimize decision-making, workflow, and resource allocation in nursing leadership.
• Understanding AI's impact, including benefits and challenges, is crucial for its successful integration into nursing management.

Purpose of the Study:

• To conduct a scoping review of AI applications in nursing management.
• To identify key benefits, limitations, ethical considerations, and future research directions for AI in nursing leadership.

Main Methods:

• Scoping review methodology (Arksey & O'Malley, Levac et al.) adhering to PRISMA-ScR guidelines.
• Systematic search of multiple databases (PubMed, Web of Science, etc.) for studies from 2013-2024.
• Thematic analysis to categorize AI applications, benefits, and challenges in nursing management.

Main Results:

• AI applications in nursing management include data-driven decision-making, workflow automation, staffing optimization, and patient monitoring.
• Key challenges involve data privacy, algorithmic bias, staff resistance, and interoperability issues.
• Potential benefits include enhanced efficiency, reduced workload, and improved predictive analytics for patient care.

Conclusions:

• AI offers promising advancements for nursing management, but requires careful planning and implementation.
• Essential considerations include comprehensive training, robust ethical oversight, and organizational adaptation for AI integration.
• Future research should focus on long-term impacts, managerial intelligence, and workforce dynamics to optimize AI in nursing leadership.