Perceptions and Readiness for Generative Artificial Intelligence Implementation Among Oncology Nurses: A Qualitative...

Area of Science:

• Nursing Informatics
• Healthcare Technology
• Change Management

Background:

• Rapid technological advancements necessitate change management in healthcare.
• Generative artificial intelligence (AI) offers potential to alleviate nursing task burdens.
• Current research on generative AI in nursing is primarily exploratory, lacking depth in management implications.

Purpose of the Study:

• To explore nurses' perceptions of generative AI applications in cancer specialty hospitals.
• To investigate environmental and contextual factors influencing generative AI adoption in nursing.
• To understand the implications of generative AI for nursing management and change processes.

Main Methods:

• Qualitative study employing in-depth interviews with nurses.
• Conducted at a leading cancer specialty hospital in South Korea (July-August 2024).
• Questionnaire development based on clinical nursing practice guidelines, with purposive sampling.

Main Results:

• Nurses identified change management factors across basic nursing, therapeutic interventions, examination support, infection control, and administration.
• Identified limitations include potential decline in nursing proactivity, patient rapport challenges, personalized care difficulties, information breaches, and accountability issues.
• Key preparation strategies involve improving nurse competency, ensuring legal protections, standardizing processes, and raising awareness.

Conclusions:

• Generative AI presents both opportunities and challenges for nursing practice and management.
• Findings highlight the need for strategic planning and enhanced nurse readiness for AI integration.
• Implications provide a foundation for academic discourse and practical implementation of generative AI in nursing.