Cybersecure Healthcare

A Quality Engineering Framework for AI- Driven Patient Safety and Data Protection

Abstract

The healthcare sector faces increasing threats from cyberattacks due to the widespread adoption of electronic health records, remote monitoring, and Internet-connected medical devices. This paper discusses the growing role of Artificial Intelligence (AI) in safeguarding critical healthcare infrastructure. AI-driven cybersecurity frameworks are emerging as powerful tools to detect anomalies, identify threats in real-time, and ensure the protection of sensitive patient data. The paper explores the challenges AI systems face, such as false positives, scalability issues, and data privacy concerns, while offering solutions like machine learning, behavioral analytics, and Blockchain integration. A proposed AI-driven framework aims to enhance the security of healthcare systems by providing proactive, real-time threat detection and rapid response mechanisms. Furthermore, the study emphasizes the importance of complying with regulations such as HIPAA, ensuring patient data privacy, and addressing the growing complexity of healthcare networks. Ultimately, AI represents a vital component in securing the future of healthcare cybersecurity.