Author(s):
R. Beutlin, Ajin Steward, S. Issac Jude
Email(s):
beutlinlal@gmail.com
DOI:
10.52711/2349-2996.2026.00004 
Address:
R. Beutlin1, Ajin Steward2, S. Issac Jude3
1Associate Professor, The Salvation Army Catherine Booth College of Nursing, Nagercoil.
2The Salvation Army Catherine Booth College of Nursing, Nagercoil.
3The Salvation Army Catherine Booth College of Nursing, Nagercoil.
*Corresponding Author
Published In:
Volume - 16,
Issue - 1,
Year - 2026
ABSTRACT:
The integration of Artificial Intelligence (AI) is transforming healthcare by enhancing clinical decision-making, improving patient outcomes, and optimizing administrative processes. As frontline providers, nurses must be equipped with the knowledge and skills to work effectively in AI-supported environments. This descriptive study was conducted at The Salvation Army Catherine Booth College of Nursing, Nagercoil, with 185 B.Sc. Nursing students to assess their preparedness, awareness, and readiness to integrate AI technologies into healthcare settings. Findings revealed moderate confidence in basic AI concepts but low preparedness to use AI tools in clinical practice. While students expressed strong interest in additional training and recognized the importance of AI in future nursing roles, significant gaps were identified in curriculum content, experiential learning, and understanding of ethical implications. The study emphasizes the urgent need for curriculum reform, faculty development, and interprofessional collaboration to build AI competencies in nursing education.
Cite this article:
R. Beutlin, Ajin Steward, S. Issac Jude. Preparedness of Nursing students to Integrate Artificial Intelligence (AI) Technologies in Health Care Settings. Asian Journal of Nursing Education and Research. 2026;16(1):15-9. doi: 10.52711/2349-2996.2026.00004
Cite(Electronic):
R. Beutlin, Ajin Steward, S. Issac Jude. Preparedness of Nursing students to Integrate Artificial Intelligence (AI) Technologies in Health Care Settings. Asian Journal of Nursing Education and Research. 2026;16(1):15-9. doi: 10.52711/2349-2996.2026.00004 Available on: https://ajner.com/AbstractView.aspx?PID=2026-16-1-4
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