Current Advancements in Drone Technology for Medical Sample Transportation

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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Publication Details

Journal
Logistics
Published
2024-10-12
DOI
https://doi.org/10.3390/logistics8040104
Citations
17
Primary Topic
UAV Applications and Optimization
Type
article
Field-Weighted Citation Impact
22.08
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article

Current Advancements in Drone Technology for Medical Sample Transportation

Lorenz Risch, Martin Risch, Noel Stierlin
17 citations
Logistics
UAV Applications and Optimization
22.08
article

Current Advancements in Drone Technology for Medical Sample Transportation

Lorenz Risch, Martin Risch, Noel Stierlin
article en
17 citations

Abstract

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.

LogisticsVol. 8(4)
University of Bern (CH), Private University in the Principality of Liechtenstein (LI), Labormedizinische Zentrum Dr Risch (Switzerland) (CH)
Industry, innovation and infrastructure
Openalex Percentile: Top 1%
UAV Applications and Optimization
22.08
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Current Advancements in Drone Technology for Medical Sample Transportation — Lorenz Risch, Martin Risch, et al. · Logistics (2024) | TGRS Research Map | TGRS