aspg-2-1782-1791952089 20261014042809 American Scientific Publishing Group admin@americaspg.com American Scientific Publishing Group Journal of Cybersecurity and Information Management JCIM 2769-7851 2690-6775 2023 11 2 Ahmed Abdelaziz Nova Information Management School, Universidade Nova de Lisboa, 1070-312, Lisboa, Portugal Alia N. Mahmoud Nova Information Management School, Universidade Nova de Lisboa, 1070-312, Lisboa, Portugal 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. 2023 17 26 1782 https://creativecommons.org/licenses/by/4.0/ 10.54216/JCIM.110202 https://americaspg.com/journal/2/article/1782 https://americaspg.com/storage/31740762461.pdf