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

Area of Science:

• Nursing Management
• Healthcare Informatics
• Artificial Intelligence in Healthcare

Background:

• Artificial intelligence (AI) is transforming healthcare management, offering enhanced decision-making, communication, and resource optimization.
• The strategic application of AI in nursing management, particularly its impact on leadership and healthcare delivery, remains underexplored.

Purpose of the Study:

• To describe the utilization of artificial intelligence (AI) by nurse managers.
• To explore AI's role in enhancing management, leadership, and healthcare outcomes within nursing.

Main Methods:

• A systematic review following PRISMA guidelines, with quality assessed by the Joanna Briggs Institute (JBI) methodology.
• Searched databases: Web of Science, Scopus, CINAHL, PubMed for studies published January 2015–April 2024.
• Included quantitative, qualitative, and mixed-method studies.

Main Results:

• Fourteen studies were selected, indicating AI facilitates improved resource management, risk assessment, and decision-making.
• AI supports nurse managers in change leadership, communication enhancement, and administrative task optimization.
• AI integration demonstrably boosts operational efficiency and leadership capabilities in nursing management.

Conclusions:

• AI is increasingly integrated into nursing management, yielding significant benefits in efficiency and decision support.
• Challenges such as resistance to change and ethical considerations require careful management for effective AI adoption.
• Training programs and interdisciplinary collaboration are vital for optimizing AI in healthcare settings.