Implications of Artificial Intelligence on Health Data Privacy and Confidentiality
It addresses privacy and ethical challenges in AI-driven healthcare, which is crucial for patients and providers, but is incremental as it reviews existing issues without proposing new solutions.
This paper examines the dual impact of AI in healthcare, highlighting its transformative potential for medical diagnostics and personalized medicine, while emphasizing the critical need to safeguard patient data privacy and comply with regulations like HIPAA.
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.