CRLGJan 22

Balancing Security and Privacy: The Pivotal Role of AI in Modern Healthcare Systems

arXiv:2601.15697v1h-index: 2
Originality Synthesis-oriented
AI Analysis

It addresses security and privacy issues for healthcare organizations, but is incremental as it focuses on applying existing AI concepts to this domain.

This paper tackles the challenge of enhancing security while protecting privacy in healthcare systems by exploring the role of AI, providing insights and recommendations for integration without compromising patient data.

As digital threats continue to grow, organizations must find ways to enhance security while protecting user privacy. This paper explores how artificial intelligence (AI) plays a crucial role in achieving this balance. AI technologies can improve security by detecting threats, monitoring systems, and automating responses. However, using AI also raises privacy concerns that need careful consideration.We examine real-world examples from the healthcare sector to illustrate how organizations can implement AI solutions that strengthen security without compromising patient privacy. Additionally, we discuss the importance of creating transparent AI systems and adhering to privacy regulations.Ultimately, this paper provides insights and recommendations for integrating AI into healthcare security practices, helping organizations navigate the challenges of modern management while keeping patient data safe.

Foundations

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