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Vol. 2 No. 2 (2025)

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Submitted
July 13, 2026
Published
December 31, 2025

Copyright (c) 2025 Samih Mohammed Hassan Mousa, Mansour Mayudh S. Alharthi, Ali Mohammed Ali Hamdi, Faisal Mohammed Mohammed Hazazi, Bandar Mahdi Ahmed Mobarki, Khalid Hassan Yousef Mobarki, Rahaf Hussain Ali Daghriry, Norah Saleh Fathuldeen Sumayli, Fahhad Muflih Faleh Aldawsari

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This work is licensed under a Creative Commons Attribution 4.0 International License.

Artificial Intelligence-Driven Algorithmic Frameworks for Health Security Management and Hospital Administration

https://doi.org/10.64483/202522741
Samih Mohammed Hassan Mousa
Al Wasli Primary Health Care Center, Jazan,Ministry of Health, Saudi Arabia
Mansour Mayudh S. Alharthi
Jeddah Second Health Cluster,Ministry of Health , Saudi Arabia
Ali Mohammed Ali Hamdi
Al Harth General Hospital, Jazan,Ministry of Health , Saudi Arabia
Faisal Mohammed Mohammed Hazazi
Al Harth General Hospital, Jazan,Ministry of Health , Saudi Arabia
Bandar Mahdi Ahmed Mobarki
Al Harth General Hospital, Jazan,Ministry of Health , Saudi Arabia
Khalid Hassan Yousef Mobarki
Al Harth General Hospital, Jazan,Ministry of Health , Saudi Arabia
Rahaf Hussain Ali Daghriry
Al Harth General Hospital, Jazan,Ministry of Health , Saudi Arabia
Norah Saleh Fathuldeen Sumayli
Al Harth General Hospital, Jazan,Ministry of Health , Saudi Arabia
Fahhad Muflih Faleh Aldawsari
Al Sulayyil General Hospital, Ministry of Health , Saudi Arabia

Corresponding Author(s) : Samih Mohammed Hassan Mousa

ficmaac@gmail.com

Saudi Journal of Medicine and Public Health, Vol. 2 No. 2 (2025)

Abstract

Background: The rapid digital transformation of healthcare has significantly improved clinical efficiency, interoperability, and patient-centered care through the widespread adoption of electronic health records, Internet of Medical Things (IoMT) devices, telemedicine, cloud computing, and artificial intelligence. However, this increased connectivity has simultaneously expanded the cybersecurity threat landscape, exposing healthcare organizations to sophisticated attacks that threaten patient privacy, data integrity, and service continuity. Blockchain technology and intelligent algorithmic approaches have emerged as promising solutions for strengthening healthcare cybersecurity while ensuring secure and transparent data management.


Aim: This review aimed to examine blockchain-based and algorithm-driven health security systems, evaluate their effectiveness in mitigating major cyber threats, and identify current challenges, limitations, and future research directions for securing modern healthcare information systems.


Methods: A comprehensive narrative review of recent literature was conducted, focusing on blockchain architectures, artificial intelligence, cryptographic techniques, intrusion detection systems, access control mechanisms, and cybersecurity frameworks designed for healthcare environments. The reviewed studies were analyzed according to system architecture, security performance, attack mitigation capabilities, and implementation challenges.


Results: The reviewed evidence demonstrated that blockchain-based systems significantly improve data integrity, authentication, transparency, traceability, and secure information sharing. Integrated artificial intelligence and cryptographic algorithms effectively mitigated unauthorized access, ransomware, denial-of-service, man-in-the-middle, data tampering, and privacy leakage attacks. Despite these advantages, challenges related to scalability, computational overhead, latency, interoperability, and user adoption remain barriers to widespread implementation.


Conclusion: Blockchain integrated with advanced algorithmic security provides a robust foundation for protecting healthcare information systems. Continued advancements in artificial intelligence, scalable blockchain architectures, and adaptive cybersecurity strategies will be essential for developing resilient, secure, and trustworthy digital healthcare ecosystems.


 

Keywords

Blockchain, Healthcare Cybersecurity, Artificial Intelligence, Health Security Systems, Electronic Health Records, Internet of Medical Things, Cryptography, Cyber Attacks, Data Privacy, Healthcare Informatics.
Mousa, S. M. H., Mansour Mayudh S. Alharthi, Ali Mohammed Ali Hamdi, Faisal Mohammed Mohammed Hazazi, Bandar Mahdi Ahmed Mobarki, Khalid Hassan Yousef Mobarki, … Fahhad Muflih Faleh Aldawsari. (2025). Artificial Intelligence-Driven Algorithmic Frameworks for Health Security Management and Hospital Administration. Saudi Journal of Medicine and Public Health, 2(2), 3773–3784. https://doi.org/10.64483/202522741
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