Ethical Big Data for Personalised Mental Health Nursing: A P4 and Systems View

Big data implementation should enhance, not replace, human interaction in mental health nursing. A new synthesis is proposed where data-driven insights support efficiency, allowing nurses more time for complex emotional needs. Key recommendations include strengthening data literacy in nursing education, developing robust data governance policies, and establishing comprehensive ethical principles to preserve the essential human dimension of care and ensure equitable access.

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Publication Details

Journal
Journal of Psychiatric and Mental Health Nursing
Published
2025-10-03
DOI
https://doi.org/10.1111/jpm.70038
Citations
1
Primary Topic
Digital Mental Health Interventions
Type
article
Field-Weighted Citation Impact
1.54
Controls
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article

Ethical Big Data for Personalised Mental Health Nursing: A P4 and Systems View

Erman Yıldız
1 citations
Journal of Psychiatric and Mental Health Nursing
Digital Mental Health Interventions
1.54
article

Ethical Big Data for Personalised Mental Health Nursing: A P4 and Systems View

Erman Yıldız
article en
1 citations

Abstract

Big data implementation should enhance, not replace, human interaction in mental health nursing. A new synthesis is proposed where data-driven insights support efficiency, allowing nurses more time for complex emotional needs. Key recommendations include strengthening data literacy in nursing education, developing robust data governance policies, and establishing comprehensive ethical principles to preserve the essential human dimension of care and ensure equitable access.

Journal of Psychiatric and Mental Health NursingVol. 32(6)
Inonu University (TR)
Openalex Percentile: Top 13%
Digital Mental Health Interventions
1.54
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