Nursing Students' Perspectives on Integrating Artificial Intelligence Into Clinical Practice and Training: A...

Area of Science:

• Nursing Education
• Health Informatics
• Artificial Intelligence in Healthcare

Background:

• Artificial intelligence (AI) integration in healthcare offers advanced clinical decision-making and workflow efficiency.
• Nursing, a human-centric field, faces unique opportunities and challenges with AI adoption.
• Nursing students' perspectives on AI in clinical practice and education are largely unexplored.

Purpose of the Study:

• To investigate nursing students' perceptions of AI integration in clinical training and professional practice.
• To identify perceived benefits and challenges of AI in nursing.
• To explore areas for improvement in AI-related nursing education.

Main Methods:

• Qualitative descriptive study involving 25 nursing students in Dhaka, Bangladesh.
• Purposive sampling to ensure diverse backgrounds.
• Semi-structured interviews conducted in Bangla, analyzed thematically.

Main Results:

• Four key themes emerged: AI in nursing education, ethical concerns, preparedness for AI practice, and AI's impact on nursing.
• Students expressed optimism regarding AI's potential for accuracy and efficiency.
• Apprehension was noted regarding student readiness for AI-driven practice.

Conclusions:

• Curriculum reform is essential to integrate AI training and address ethical considerations in nursing education.
• AI should be positioned as a supportive tool, not a replacement for nursing expertise.
• Findings offer a framework for integrating AI into nursing education while maintaining compassionate care.