Protecting Patient Data in the Age of AI: Strategies and Challenges in Healthcare

Abstract

This paper discusses the critical importance of protecting patient data in the fast-evolving environment of artificial intelligence (AI) in healthcare, covering both technological and ethical considerations. The research looks for effective strategies for protecting patient data while addressing inherent challenges from AI technologies. Key topics explored include the impact of AI on patient data privacy, regulatory frameworks, encryption techniques, ethical implications, and the risks of data breaches. A qualitative methodology was applied in order to get expert interviews and focus groups to gain insight into current challenges and solutions in data protection. The findings suggest customization of AI and its enhancement with privacy, adoption of adaptive strategies at the regulatory end, further advances in encryption technology, and putting in place ethics-based AI framework, breach-prevention proactive measure. It supports the theory of AI-based security for health-care data as well as contributes toward practical knowhow and proposes ways for future research studies.