Artificial Intelligence in Mental Health Nursing: Balancing Clinical Efficiency and the Human Touch-A Quest for a New Synthesis

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dc.contributor.authorYildiz, Erman
dc.date.accessioned2026-04-04T13:33:22Z
dc.date.available2026-04-04T13:33:22Z
dc.date.issued2025
dc.departmentİnönü Üniversitesi
dc.description.abstractBackgroundArtificial intelligence (AI) applications are increasingly being integrated into mental health nursing, presenting opportunities alongside challenges.AimThis 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.MethodUtilizing 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.ResultsFindings 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.ConclusionAI 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.
dc.description.sponsorshipInonu University
dc.description.sponsorshipThe author wishes to express their gratitude to Inonu University for providing a supportive research environment.
dc.identifier.doi10.1111/jpm.13173
dc.identifier.endpage952
dc.identifier.issn1351-0126
dc.identifier.issn1365-2850
dc.identifier.issue4
dc.identifier.orcid0000-0002-6544-4847
dc.identifier.pmid40162546
dc.identifier.scopus2-s2.0-105001810350
dc.identifier.scopusqualityQ1
dc.identifier.startpage946
dc.identifier.urihttps://doi.org/10.1111/jpm.13173
dc.identifier.urihttps://hdl.handle.net/11616/109087
dc.identifier.volume32
dc.identifier.wosWOS:001509740500001
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.institutionauthorYildiz, Erman
dc.language.isoen
dc.publisherWiley
dc.relation.ispartofJournal of Psychiatric and Mental Health Nursing
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_WOS_20250329
dc.subjectartificial intelligence
dc.subjectclinical efficiency
dc.subjectethics
dc.subjectmental health nursing
dc.subjecttherapeutic relationship
dc.titleArtificial Intelligence in Mental Health Nursing: Balancing Clinical Efficiency and the Human Touch-A Quest for a New Synthesis
dc.typeArticle

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