Efficient healthcare logistics play a vital role in improving health outcomes by ensuring the rapid delivery of medical supplies, equipment, and patient care services. This study investigates the key logistics factors influencing transportation efficiency in healthcare operations and their subsequent effects on service performance and patient outcomes. The research employs a multi-criteria decision-making approach combining the Analytic Hierarchy Process (AHP) and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) to identify, analyse, and prioritize logistics factors and technological enablers that enhance transportation efficiency. AHP results indicate that reliable and punctual transport significantly improves patient outcomes and operational efficiency, underscoring the need to balance patient-centric service with cost-effective logistics management. TOPSIS revealed that telematics ranked first owing to its capability for real-time tracking, optimization, and monitoring. Internet of Things (IoT) and automated scheduling systems followed, enhancing responsiveness and reliability, while Artificial Intelligence (AI) and Blockchain ranked lower, reflecting limited maturity in healthcare logistics applications. The study recommends prioritizing investments in advanced navigation systems, real-time monitoring technologies, and route-optimization tools to enhance punctuality and safety. Moreover, healthcare organizations should integrate digital logistics management platforms to improve coordination, decision-making, and resource allocation.
Ismaili et al. (Thu,) studied this question.