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[Ethics of (big) data applications in psychiatric practice]
Tijdschrift Voor Psychiatrie
|November 10, 2021
Summary
This study explores ethical dilemmas in applying big data and artificial intelligence (AI) in clinical practice. Responsible use of clinical data requires considering ethical aspects throughout data collection, analysis, and application.
Area of Science:
- Digital Health
- Medical Ethics
- Health Informatics
Background:
- Increasing digitalization generates vast amounts of healthcare data.
- Big data and artificial intelligence (AI) are emerging in clinical settings.
Purpose of the Study:
- To identify and analyze ethical dilemmas associated with big data in clinical practice.
- To provide insights into responsible application of clinical data and AI.
Main Methods:
- Analysis of ethical aspects in psychiatric care data.
- Examination of ethical considerations across data lifecycle phases.
Main Results:
- Ethical considerations are crucial in data collection, analysis, dissemination, and application.
- Responsible use of clinical data and AI necessitates addressing these ethical aspects.
Conclusions:
- Big data and AI should support, not replace, healthcare professionals and patients in improving care.
- Healthcare encompasses unquantifiable aspects, meaning AI and big data are supportive tools, not definitive solutions.
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