Author(s):
Tiyari Kalpana, S. Hemalatha
Email(s):
Kalpananaiudtiyari@gmail.com , hemaprasadtpt@gmail.com
DOI:
10.52711/2454-2652.2026.00027 
Address:
Tiyari Kalpana1, S. Hemalatha2
1Nursing Tutor, College of Nursing, Sri Padmavathi Mahila VisvaVidyalayam, Women’s University Tirupati Tirupati - 517501, A.P, India.
2Asst Professor, Deparment of Mental Health Nursing, SVIMS, College of Nursing, Tirupati - 517501, A.P, India.
*Corresponding Author
Published In:
Volume - 14,
Issue - 3,
Year - 2026
ABSTRACT:
Background: Mental health nurses face high levels of stress, workload, and emotional burden, affecting both care quality and workforce sustainability. Digital health and artificial intelligence (AI) have emerged as innovative solutions to support mental health nursing practice. Aim: To examine the opportunities and challenges of digital health and AI in supporting mental health nurses. Methodology: A structured narrative review of peer-reviewed literature (2019–2025) was conducted using PubMed, Scopus, and Web of Science databases. Results: Evidence shows that AI improves clinical decision-making, reduces workload, enhances patient monitoring, and expands access through tele-mental health. However, challenges include ethical concerns, data privacy, algorithm bias, and reduced human interaction. Conclusion: Digital health and AI can significantly enhance mental health nursing practice when implemented with appropriate ethical safeguards and training. This review highlights the need for human-centered implementation of AI in mental health nursing.
Cite this article:
Tiyari Kalpana, S. Hemalatha. Opportunities and Challenges of Digital Health and Artificial Intelligence in Supporting Mental Health Nurses: A Structured Evidence-Based Review. International Journal of Advances in Nursing Management. 2026;14(3):131-4. doi: 10.52711/2454-2652.2026.00027
Cite(Electronic):
Tiyari Kalpana, S. Hemalatha. Opportunities and Challenges of Digital Health and Artificial Intelligence in Supporting Mental Health Nurses: A Structured Evidence-Based Review. International Journal of Advances in Nursing Management. 2026;14(3):131-4. doi: 10.52711/2454-2652.2026.00027 Available on: https://www.ijanm.com/AbstractView.aspx?PID=2026-14-3-1
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