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Statistical Pathways Toward Ethical Big Data in Personalised Mental Health Care
Dominikus David Biondi Situmorang1, Rina Nurhudi Ramdhani1, Pepi Nuroniah1
1Department of Guidance and Counseling, Faculty of Education, Universitas Pendidikan Indonesia, Bandung, Indonesia.
Journal of Psychiatric and Mental Health Nursing
|November 8, 2025
Summary
Integrating ethical statistical methods into mental health nursing education is crucial for responsible big data use. This approach ensures data-driven innovation promotes equitable, humanistic patient care.
Area of Science:
- Mental Health Data Science
- Applied Statistics
- Health Informatics
Background:
- Ethical considerations for big data in personalized mental health nursing are increasingly important.
- A gap exists between ethical obligations and measurable methods for data use in mental health.
- Statistical literacy is key to developing data-driven innovation for equitable mental health care.
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