Creating a Data Architecture for Cybersecurity in Healthcare Systems

The cybersecurity architecture forms the structure of a typical cybersecurity system, including its main functions, class, the boundaries of each subsystem, their relationship/independence, etc. There are several tactics to enhancing cyber resilience including empowering security leaders and investing in advanced technologies, testing incident response processes regularly, proactively hunting for threats and sharing intelligence, and hardening and protecting core assets. Artificial intelligence (AI)/machine learning (ML) is used to promote strong cybersecurity programs. Encryption provides a robust safeguard against unauthorized access to sensitive data (at rest or in motion). Interoperability has become a critical component of cybersecurity due to the increase in telehealth modules and remote patient monitoring. Blockchain is also picking up more use among healthcare organizations. This paper introduces data architecture for cybersecurity in general organizations, presents data and cybersecurity in healthcare, and deals with data architecture for cybersecurity in a large medical center as a case study. The case study mainly deals with data capture/collection, data processing (e.g., cleaning, sorting, merging, and data storage), data analytics, data governance and management, and applications and services.