Data Security in Healthcare Systems: Integration of Information Security and Information Management

Ahmed Abdelaziz, Alia N Mahmoud 

Nova Information Management School, Universidade Nova de Lisboa, 1070-312, Lisboa, Portugal

Emails: D20190535@novaims.unl.pt; M20190508@novaims.unl.pt    

Abstract

 Effective management of patient data is critical for improving the quality of care and patient outcomes in healthcare systems. However, ensuring the confidentiality, integrity, and availability of patient data while complying with regulatory requirements can be challenging. To address this challenge, this work proposes an artificial intelligence (AI)-enabled framework that integrates information security (IS) and information management (IM) capabilities into a unified solution for improving the overall functionality of healthcare systems.  The proposed framework leverages AI algorithms to automate managerial transactions of healthcare systems, while ensuring they are secure against possible threats. By automating these tasks, the framework can reduce the burden on healthcare staff, improve the accuracy and speed of information processing, and reduce the risk of human error. Our framework provides accurate and timely information to healthcare providers, enabling them to make informed decisions and provide better care to patients.

Keyworks: Information Management; Information Security; Healthcare system.