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Perspectives on AI-Driven Nursing Science Among Nursing Professionals from China: A Qualitative Study
Nursing Reports (Pavia, Italy)
|June 25, 2025
Summary
Nursing professionals see potential in artificial intelligence (AI) for clinical practice and education, but emphasize cautious, evidence-based integration. Further policy, education, and resources are needed for sustainable AI adoption in nursing.
Area of Science:
- Nursing Science
- Artificial Intelligence in Healthcare
- Digital Health
Background:
- Limited research exists on nursing professionals' perceptions of AI integration in clinical practice and education.
- Nursing educators and practitioners are key stakeholders in AI-driven healthcare initiatives.
- Understanding their experiences is crucial for advancing AI in nursing science.
Purpose of the Study:
- To investigate nursing professionals' perceptions, experiences, and expectations of AI in nursing.
- To provide insights for the advancement of AI-driven nursing science.
- To explore the integration of artificial intelligence in nursing education and clinical practice.
Main Methods:
- Descriptive qualitative design.
- Semi-structured interviews with 12 nursing professionals in China (September-December 2024).
- Maximum variation sampling and content analysis.
Main Results:
- Theme 1: AI's potential in decision-making, documentation, high-risk care, and nursing activity development.
- Theme 2: Multi-dimensional response prioritizing education, research, application scenarios, and interdisciplinary integration.
- Theme 3: Identified obstacles including human-technology interaction, funding, AI maturity, and risk management.
Conclusions:
- Emphasized need for evidence-based, cautious, and context-sensitive AI application in nursing.
- Highlighted importance of aligning intelligent nursing with clinical realities.
- Called for strengthened policy, education, and resources for sustainable AI integration.
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