END-TO-END BLOOD SUPPLY CHAIN MONITORING, SHORTAGE PREDICTION AND EMERGENCY ALLOCATION USING REAL-TIME DONOR, INVENTORY AND HOSPITAL DEMAND DATA - (BLOODFLOW 360)

Abstract

Blood is a perishable resource that cannot be manufactured, and its availability depends entirely on voluntary donation, careful storage, and timely movement between blood banks and hospitals. Red cell units expire after about 35 to 42 days, platelets after only five days, and demand varies sharply with accidents, surgeries, dengue outbreaks, and festival seasons. In many regions, blood banks still maintain stock registers separately, and a hospital facing a sudden requirement has to call several centres before it finds compatible units. This paper presents BloodFlow 360, an end-to-end data platform that monitors the blood supply chain, predicts shortages before they occur, and recommends emergency allocation using real-time donor, inventory, and hospital demand data. The platform brings three kinds of data into a single pipeline. Donor data includes registrations, blood group, last donation date, eligibility status, and camp attendance. Inventory data comes from blood bank management systems and records each unit by component, blood group, collection date, expiry date, storage location, and test status. Hospital demand data covers transfusion requests, scheduled surgeries, emergency admissions, and the actual units issued. These sources are ingested through scheduled extracts and event streams, validated against a common schema, and loaded into a central data warehouse where each unit can be traced from donation to transfusion. On top of this integrated data, the system builds analytical and predictive services. A demand forecasting model based on gradient boosting, supported by a seasonal timeseries baseline, predicts daily requirements for each blood group and component at each hospital cluster. A shortage risk score compares projected stock, including units that will expire, against forecast demand for the next seven days. When a shortage is likely, a donor recall module ranks eligible donors by distance, blood group, and past response, and an allocation engine suggests inter-bank transfers that reduce both shortage and wastage.