Logistics · 2024 · 28 citations · 52 references
EngineeringBiomedical EngineeringRobotics EngineeringTransportTransportationUnmanned Aircraft SystemsEmergency Medical LogisticsEmergency TransportPatient NavigationPatient TransportAutonomous Delivery VehiclesAutonomous Navigation In Clinical SettingsIn-flight Patient MonitoringLogisticsPayload Data ManagementPayload ManagementPrivacyTraffic Congestion
Background: The integration of drone technology into healthcare logistics presents a significant opportunity to enhance the speed, reliability, and efficiency of medical sample transportation. Methods: This paper provides a narrative review of current advancements in drone technology, focusing on its application in the rapid and secure delivery of medical samples, particularly in urban and remote regions where traditional transportation methods often face challenges. Drawing from recent studies and case reports, the review highlights the role of technologies such as artificial intelligence (AI)-driven navigation systems, real-time monitoring, and secure payload management in mitigating logistical barriers like traffic congestion and geographical isolation. Results: Based on findings from various case studies, the review demonstrates how drones can significantly reduce transportation time and costs, while improving accessibility to healthcare services in underserved areas. Conclusions: This paper concludes that, while challenges such as regulatory hurdles and privacy concerns remain, ongoing technological advancements and the development of supportive regulatory frameworks have the potential to revolutionize medical logistics, ultimately improving patient outcomes and healthcare delivery.
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