The future of artificial intelligence in mental health nursing practice: an integrative review

Milasan, LH ORCID logoORCID: https://orcid.org/0000-0003-1351-6463 and Scott‐Purdy, D ORCID logoORCID: https://orcid.org/0000-0001-5888-0678, 2025. The future of artificial intelligence in mental health nursing practice: an integrative review. International Journal of Mental Health Nursing, 34 (1): e70003. ISSN 1445-8330

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Abstract

Artificial intelligence (AI) has been increasingly used in delivering mental healthcare worldwide. Within this context, the traditional role of mental health nurses has been changed and challenged by AI‐powered cutting‐edge technologies emerging in clinical practice. The aim of this integrative review is to identify and synthesise the evidence of AI‐based applications with relevance for, and potential to enhance, mental health nursing practice. Five electronic databases (CINAHL, PubMed, PsycINFO, Web of Science and Scopus) were systematically searched. Seventy‐eight studies were identified, critically appraised and synthesised following a comprehensive integrative approach. We found that AI applications with potential use in mental health nursing vary widely from machine learning algorithms to natural language processing, digital phenotyping, computer vision and conversational agents for assessing, diagnosing and treating mental health challenges. Five overarching themes were identified: assessment, identification, prediction, optimisation and perception reflecting the multiple levels of embedding AI‐driven technologies in mental health nursing practice, and how patients and staff perceive the use of AI in clinical settings. We concluded that AI‐driven technologies hold great potential for enhancing mental health nursing practice. However, humanistic approaches to mental healthcare may pose some challenges to effectively incorporating AI into mental health nursing. Meaningful conversations between mental health nurses, service users and AI developers should take place to shaping the co‐creation of AI technologies to enhance care in a way that promotes person‐centredness, empowerment and active participation.

Item Type: Journal article
Publication Title: International Journal of Mental Health Nursing
Creators: Milasan, L.H. and Scott‐Purdy, D.
Publisher: Wiley
Date: February 2025
Volume: 34
Number: 1
ISSN: 1445-8330
Identifiers:
Number
Type
10.1111/inm.70003
DOI
2417887
Other
Rights: © 2025 The Author(s). International Journal of Mental Health Nursing published by John Wiley & Sons Australia, Ltd. This is an open access article under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Divisions: Schools > School of Social Sciences
Record created by: Laura Borcherds
Date Added: 28 Mar 2025 16:21
Last Modified: 28 Mar 2025 16:21
URI: https://irep.ntu.ac.uk/id/eprint/53321

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