Automated Blood Bank Management System: Integrating RFID and AI for Real-Time Inventory Tracking

Traditional blood bank systems face critical inefficiencies due to manual processes, leading to delays, errors, and

significant blood wastage. This paper proposes an Automated Blood Bank Management System leveraging RFID technology

and AI-driven analytics to optimize real-time inventory tracking, reduce wastage, and enhance emergency response. The system

integrates RFID tags for unit-level monitoring, enabling precise tracking of blood stock levels, expiry dates, and storage

conditions. AI algorithms predict demand patterns and prioritize emergency requests through dynamic priority queuing,

reducing response times by 40% compared to manual systems. A hybrid cloud-edge architecture ensures scalability, while

compliance with WHO and FDA standards is maintained through AES-256 encryption and role-based access control.

Through automated SMS/IVR reminders, a mid-sized hospital's pilot study showed a 25% increase in donor retention and a 30%

decrease in blood waste. The IoT-enabled dashboard of the system offers real-time information into compliance audits, donor

involvement, and inventory trends. The findings demonstrate how the framework's inclusive design—which includes

multilingual voice interfaces for non-tech users—can bridge healthcare gaps between urban and rural areas. By fusing AI's

predictive capabilities with RFID's granular tracking, our work enhances blood bank automation and provides a scalable

solution for international healthcare systems. AI-powered mobile apps for tailored donor interaction and blockchain integration

for impenetrable audits are examples of future additions.