An IoT-Driven Framework for Blood Supply Chain Management: Addressing Demand-Supply Uncertainties in the UAE Case Study

This paper introduces an IoT-driven framework specifically designed for Blood Supply Chain Management (BSCM) in the UAE, beginning with a comprehensive analysis of the current state of the blood supply chain. The analysis reveals significant issues, such as substantial wastage of blood units and non-uniform demand across hospitals, with instances where wastage surpasses actual demand. To address these challenges, the proposed framework integrates advanced technologies such as Internet of Things (IoT) sensors, artificial intelligence (AI), and big data analytics to create a highly responsive and efficient blood supply network. By leveraging real-time data capture and analysis, the system ensures optimal alignment of blood product availability with hospital and clinic needs, thereby reducing wastage and improving healthcare outcomes. It discusses the implementation of this framework in the UAE, examining how such technological innovations can mitigate common challenges in BSCM such as perishability, variable demand, and logistical constraints. The study aims to provide a robust solution that enhances the effectiveness of the Blood Supply Chain (BSC), ultimately leading to better patient care and resource management in the healthcare system. Through detailed case studies and empirical analysis, this paper illustrates the potential for IoT technologies to transform BSC operations by enhancing transparency, efficiency, and reliability in managing blood resources in the UAE.