A Framework for Secure Data Management for Medical Devices

Abstract

Data is a valuable currency that our modern world thrives upon. Security and privacy for data are becoming critical concerns, especially in healthcare where sensitive information is exchanged amongst the healthcare stakeholders. The protection of medical data is considerably more apparent and significant with guidelines such as HIPAA and FDA regulations in place. In this paper, we propose a methodology to ensure data security throughout the medical device life cycle, ranging from data initiation to data processing and data transmission. The goal is to facilitate communication between patients and doctors in a fast and secure manner. We propose an Adaptive Mode Selection (AMS) scheme to investigate security threats amongst system functions. A Priority-Queue Based (PQB) process is established to improve data management and data isolation within medical devices. Further, we propose an Adaptive Protocol Selection (APS) to enhance data transmission over the most appropriate communication protocol based on risk values identified by AMS. The combination of AMS, PQB and APS contributes towards delivering health services with continual secured data feeds and reduction in time of medical intervention.