{"title":"Artificial Intelligence in Mental Health Nursing: Balancing Clinical Efficiency and the Human Touch-A Quest for a New Synthesis.","authors":"Erman Yıldız","doi":"10.1111/jpm.13173","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Artificial intelligence (AI) applications are increasingly being integrated into mental health nursing, presenting opportunities alongside challenges.</p><p><strong>Aim: </strong>This article aims to examine the complex balance between leveraging AI for clinical efficiency and preserving indispensable human elements such as empathy and the therapeutic relationship in mental health nursing.</p><p><strong>Method: </strong>Utilizing a review of literature, theoretical approaches, and insights from field observations, this debate essay explores the integration of AI, focusing on potential benefits, risks, and ethical considerations.</p><p><strong>Results: </strong>Findings indicate that while AI offers undeniable contributions to diagnostic processes and care coordination, its role should be complementary, not substitutive. Excessive reliance on algorithms risks damaging the patient-nurse relationship, potentially reducing individuals to data points. Significant ethical issues, including data privacy and algorithmic bias, require careful consideration.</p><p><strong>Conclusion: </strong>AI should be implemented to enhance, not replace, human interaction in mental health nursing. A new synthesis is proposed where AI systems support efficiency, thereby allowing nurses more time to address patients' complex emotional needs. Key recommendations include restructuring nursing education, creating robust feedback channels, and establishing comprehensive ethical principles to preserve the essential human dimension of care.</p>","PeriodicalId":50076,"journal":{"name":"Journal of Psychiatric and Mental Health Nursing","volume":" ","pages":""},"PeriodicalIF":2.6000,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Psychiatric and Mental Health Nursing","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1111/jpm.13173","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"NURSING","Score":null,"Total":0}
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Abstract
Background: Artificial intelligence (AI) applications are increasingly being integrated into mental health nursing, presenting opportunities alongside challenges.
Aim: This article aims to examine the complex balance between leveraging AI for clinical efficiency and preserving indispensable human elements such as empathy and the therapeutic relationship in mental health nursing.
Method: Utilizing a review of literature, theoretical approaches, and insights from field observations, this debate essay explores the integration of AI, focusing on potential benefits, risks, and ethical considerations.
Results: Findings indicate that while AI offers undeniable contributions to diagnostic processes and care coordination, its role should be complementary, not substitutive. Excessive reliance on algorithms risks damaging the patient-nurse relationship, potentially reducing individuals to data points. Significant ethical issues, including data privacy and algorithmic bias, require careful consideration.
Conclusion: AI should be implemented to enhance, not replace, human interaction in mental health nursing. A new synthesis is proposed where AI systems support efficiency, thereby allowing nurses more time to address patients' complex emotional needs. Key recommendations include restructuring nursing education, creating robust feedback channels, and establishing comprehensive ethical principles to preserve the essential human dimension of care.
期刊介绍：
The Journal of Psychiatric and Mental Health Nursing is an international journal which publishes research and scholarly papers that advance the development of policy, practice, research and education in all aspects of mental health nursing. We publish rigorously conducted research, literature reviews, essays and debates, and consumer practitioner narratives; all of which add new knowledge and advance practice globally.
All papers must have clear implications for mental health nursing either solely or part of multidisciplinary practice. Papers are welcomed which draw on single or multiple research and academic disciplines. We give space to practitioner and consumer perspectives and ensure research published in the journal can be understood by a wide audience. We encourage critical debate and exchange of ideas and therefore welcome letters to the editor and essays and debates in mental health.
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