Artificial Intelligence Ethics and Challenges in Healthcare Applications: A Comprehensive Review in the Context of the European GDPR Mandate

This study examines the ethical issues surrounding the use of Artificial Intelligence (AI) in healthcare, specifically nursing, under the European General Data Protection Regulation (GDPR). The analysis delves into how GDPR applies to healthcare AI projects, encompassing data collection and decision...

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Bibliographic Details
Published in:Machine learning and knowledge extraction 2023-08, Vol.5 (3), p.1023-1035
Main Authors: Mohammad Amini, Mohammad, Jesus, Marcia, Fanaei Sheikholeslami, Davood, Alves, Paulo, Hassanzadeh Benam, Aliakbar, Hariri, Fatemeh
Format: Article
Language:English
Subjects:
AI in nursing
Analysis
Artificial intelligence
artificial intelligence (AI)
Case studies
Computer ethics
Computer software industry
Data collection
Data entry
data privacy
Data security
Decision making
Ethical aspects
Ethical standards
Ethics
General Data Protection Regulation
general data protection regulation (GDPR)
Health care
Health care industry
healthcare ethics
Literature reviews
Medical ethics
Nursing care
Privacy
Technology application
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Summary:This study examines the ethical issues surrounding the use of Artificial Intelligence (AI) in healthcare, specifically nursing, under the European General Data Protection Regulation (GDPR). The analysis delves into how GDPR applies to healthcare AI projects, encompassing data collection and decision-making stages, to reveal the ethical implications at each step. A comprehensive review of the literature categorizes research investigations into three main categories: Ethical Considerations in AI; Practical Challenges and Solutions in AI Integration; and Legal and Policy Implications in AI. The analysis uncovers a significant research deficit in this field, with a particular focus on data owner rights and AI ethics within GDPR compliance. To address this gap, the study proposes new case studies that emphasize the importance of comprehending data owner rights and establishing ethical norms for AI use in medical applications, especially in nursing. This review makes a valuable contribution to the AI ethics debate and assists nursing and healthcare professionals in developing ethical AI practices. The insights provided help stakeholders navigate the intricate terrain of data protection, ethical considerations, and regulatory compliance in AI-driven healthcare. Lastly, the study introduces a case study of a real AI health-tech project named SENSOMATT, spotlighting GDPR and privacy issues.
ISSN:2504-4990
2504-4990
DOI:10.3390/make5030053