ORIGINAL RESEARCH article
Front. Comput. Sci.
Sec. Computer Security
From Cybersecurity to Digital Health: An AI-Based eGuide Framework for Oman's Healthcare Centers
Provisionally accepted
- 1College of Business Administration, MIS, A’sharqiyah university Ibra, Oman, Ibra, Oman
- 2University of Sindh Jamshoro, Jamshoro, Pakistan
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The AI-based eGuide platform for healthcare centers in Oman represents a cornerstone of the Sultanate's critical national health infrastructure, underpinning both patient care and national resilience. This paper develops a comprehensive cybersecurity and governance framework to secure the eGuide system against an increasingly complex threat landscape characterized by phishing campaigns, ransomware incidents, and data leakage risks. Building upon global best practices, the study advances a transition from legacy perimeter security models toward a Zero Trust Architecture, ensuring continuous authentication, dynamic authorization, and micro segmentation of services. The framework is reinforced by the adoption of ISO/IEC 27000 aligned governance, demonstrable compliance with Oman's Personal Data Protection Law (PDPL), the General Data Protection Regulation (GDPR), and the Health Insurance Portability and Accountability Act (HIPAA). Further contribution is the integration of mathematically verified security primitives, including multi-factor authentication, hybrid RBAC cum ABAC access models, and blockchain-enabled audit trails, providing rigorous assurances of privacy, integrity, and accountability. The methodology also incorporates continuous evaluation cycles and penetration testing strategies, enabling proactive detection and mitigation of vulnerabilities. By embedding resilience through architectural scalability, high-availability patterns, and disaster recovery mechanisms, this research positions the eGuide platform as a secure, reliable, and future-ready foundation for Oman's digital health ecosystem.
Keywords: AI Based eguide, GDPR, HIPAA, Oman, Patient Care, PDPL, security
Received: 13 Oct 2025; Accepted: 05 Jan 2026.
Copyright: © 2026 Khanan, Mohamed, Bashir and Hakro. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Yasir Abdelgadir Mohamed
Prof. Dr. Dil Nawaz Hakro
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