Implications of Artificial Intelligence on Health Data Privacy and Confidentiality
The rapid integration of artificial intelligence (AI) in healthcare is revolutionizing medical diagnostics, personalized medicine, and operational efficiency. However, alongside these advancements, significant challenges arise concerning patient data privacy, ethical considerations, and regulatory compliance. This paper examines the dual impact of AI on healthcare, highlighting its transformative potential and the critical need for safeguarding sensitive health information. It explores the role of the Health Insurance Portability and Accountability Act (HIPAA) as a regulatory framework for ensuring data privacy and security, emphasizing the importance of robust safeguards and ethical standards in AI-driven healthcare. Through case studies, including AI applications in diabetic retinopathy, oncology, and the controversies surrounding data sharing, this study underscores the ethical and legal complexities of AI implementation. A balanced approach that fosters innovation while maintaining patient trust and privacy is imperative. The findings emphasize the importance of continuous education, transparency, and adherence to regulatory frameworks to harness AI's full potential responsibly and ethically in healthcare.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
Federated Learning for Privacy-Preserving Open Innovation Future on Digital Health
Privacy protection is an ethical issue with broad concern in Artificial Intelligence (AI). Federated learning is a new machine learning paradigm to learn a shared model across users or organisations without direct access…
Federated LearningPrivacy PreservingThe Risk to Population Health Equity Posed by Automated Decision Systems: A Narrative Review
Artificial intelligence is already ubiquitous, and is increasingly being used to autonomously make ever more consequential decisions. However, there has been relatively little research into the existing and possible cons…
Decision MakingDiagnosticThe Gradient of Health Data Privacy
In the era of digital health and artificial intelligence, the management of patient data privacy has become increasingly complex, with significant implications for global health equity and patient trust. This paper intro…
The Global Impact of AI-Artificial Intelligence: Recent Advances and Future Directions, A Review
Artificial intelligence (AI) is an emerging technology that has the potential to transform many aspects of society, including the economy, healthcare, and transportation. This article synthesizes recent research literatu…
Synthetic Data and Health Privacy
This Viewpoint discusses generative artificial intelligence and safeguarding privacy by using synthetic data as a substitute for private health data.