Perspectives and Experiences of Nurse Managers on the Impact of Artificial Intelligence on Nursing Work Environments and Managerial Processes: A Qualitative Study

Abstract

AIM: To explore the perspectives and experiences of nurse managers regarding the impact of artificial intelligence (AI) on nursing work environments and managerial processes. BACKGROUND: The integration of AI into nursing care delivery has emerged as a critical component of the evolving role of nurse managers. AI-supported technologies provide nurse managers with advanced tools to facilitate patient monitoring, predict high hospital bed occupancy rates, and develop workforce planning strategies. METHODS: This study used a descriptive design with semi-structured interviews to explore the experiences of 22 nurse managers. Qualitative data were analyzed through content analysis. The Consolidated Criteria for Reporting Qualitative Research have been followed by reporting the methods and findings. RESULTS: This study identified four main themes regarding nurse managers' perspectives on the impact of AI in nursing: applications of AI, reflections on the nursing environment, barriers to use, and strategies for integration, along with 12 related subthemes. CONCLUSIONS: This study highlights both the opportunities and challenges of integrating AI into nursing practices and management. While AI can enhance patient safety, care quality, and resource management, barriers such as infrastructure deficiencies, data security concerns, and cultural resistance hinder its implementation. IMPLICATIONS FOR NURSING AND NURSING POLICY: The findings suggest that AI can be a strategic tool in nursing work environment and clinical practices, shaping nursing leadership and health policies. Organizational readiness, support, and empowering nurse managers through AI leadership emerge as critical drivers for successful integration.

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