Secure Health-Data: A Framework for HIPAA-Compliant Healthcare Information Systems

Abstract

Healthcare data breaches continue to compromise millions of patient records annually, creating urgent need for systematic security frameworks that balance protection with accessibility. This paper presents SecureHealth-Data, a comprehensive framework for protecting electronic health information in modern healthcare systems. The framework’s primary contribution lies in the systematic integration of the three safeguard categories of the HIPAA Security Rule—administrative, technical, and physical—with cybersecurity principles including the cyber kill chain and risk management methodologies into a cohesive, implementable package. This integrated approach addresses a gap in existing healthcare security literature, where these concepts are typically treated separately rather than as interconnected defense layers. SecureHealth-Data comprises four main components: a policy framework for administrative safeguards, a technical stack for encryption and access control, a physical security tier, and a kill chain defense matrix mapping attack stages to countermeasures. Experimental validation was conducted using physiological sensor data from the University of Granada dataset, including ECG, accelerometer, gyroscope, and magnetometer signals collected from chest, ankle, and arm placements. The framework demonstrated effective attack prevention across multiple scenarios including phishing attempts, stolen laptops, and insider threats, with encryption overhead of approximately 8 percent and manageable logging volumes of 14,400 lines per patient daily. The results indicate that SecureHealth-Data provides a practical, scalable blueprint for healthcare institutions to strengthen data security, ensure regulatory compliance, and protect patient privacy in an era of increasing digital health adoption.