AI-Enabled Unmanned Vehicle Systems for Transforming Healthcare Delivery: Strategic Applications and Roadmap for Oman’s Public Health System

Abstract

This paper explores the transformative potential of AI-enabled Unmanned Vehicle Systems (UVS) in enhancing healthcare logistics within Oman’s public health sector, with a specific focus on Unmanned Aerial Vehicles (UAVs) for medical supply delivery. Oman’s unique geography, characterized by remote mountainous terrain and limited road access, presents significant challenges for the timely and equitable delivery of healthcare. The proposed system integrates AI-driven autonomous routing and multi-vehicle coordination to optimize the delivery of critical medical supplies, including vaccines, diagnostics, blood products, and emergency medications. Key technical and policy considerations are addressed, such as airspace regulations, data privacy, cybersecurity, and interoperability with health information systems. A five-phase roadmap is presented, outlining a structured strategy for national-level implementation: from governance and pilot deployments to regulatory frameworks, scale-up, and sustainability. By aligning UAV-based healthcare logistics with Oman Vision 2040, this work demonstrates how targeted UVS applications can enhance access, responsiveness, and system resilience in public health, providing a scalable model for other nations facing similar healthcare delivery challenges.

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