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<p>Delivering perishable medical supplies such as blood bags remains a persistent challenge in healthcare logistics due to the limits of ground-based transport. Earlier studies examined drones or IoT separately, but this study introduces a unified IoT–drone framework that integrates both technologies to address these gaps. The framework improves conventional drone models by adding continuous monitoring, autonomous decision-making, and adaptive last-mile delivery. Unlike static systems, it leverages IoT-enabled sensors, AI-driven route optimization, and environmental feedback loops to maintain delivery integrity under adverse conditions. A hypothetical deployment illustrates how the system navigates complex terrains and extreme weather while ensuring timely and reliable delivery. The framework’s scalability spans emergency response, vaccine distribution, and rural outreach, positioning it as a transformative alternative to existing logistics paradigms. This work contributes to a holistic, resilient, sustainable healthcare delivery model that advances global health equity and intelligent logistics innovation.</p>

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IoT-Drone synergy in healthcare logistics: a framework for real-time decision-making and remote access

  • 期刊论文

  • 发表日期：

    2026年5月22日

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  • Tejinder Singh Lakhwani,
  • Yerasani Sinjana,
  • Anuj Pal Kapoor

摘要

Delivering perishable medical supplies such as blood bags remains a persistent challenge in healthcare logistics due to the limits of ground-based transport. Earlier studies examined drones or IoT separately, but this study introduces a unified IoT–drone framework that integrates both technologies to address these gaps. The framework improves conventional drone models by adding continuous monitoring, autonomous decision-making, and adaptive last-mile delivery. Unlike static systems, it leverages IoT-enabled sensors, AI-driven route optimization, and environmental feedback loops to maintain delivery integrity under adverse conditions. A hypothetical deployment illustrates how the system navigates complex terrains and extreme weather while ensuring timely and reliable delivery. The framework’s scalability spans emergency response, vaccine distribution, and rural outreach, positioning it as a transformative alternative to existing logistics paradigms. This work contributes to a holistic, resilient, sustainable healthcare delivery model that advances global health equity and intelligent logistics innovation.