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@article{193377,
        author = {Ms. Seema B. Kharwade and Ms. Ishika P. Bansod},
        title = {REVOLUTIONIZING BLOOD BANK MANAGEMENT WITH AI: SMART SOLUTIONS FOR LIFE-SAVING EFFICIENCY},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {10},
        pages = {158-169},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=193377},
        abstract = {Blood is a non-replenishable entity, the only source of that are people. well timed availability of great blood is a crucial requirement for sustaining the healthcare offerings. consequently, keeping quality of blood and identification of expert Donors is a prime obligation of blood banks. The green control of blood donation and transfusion stays an important difficulty in cutting-edge healthcare. Conventional blood financial institution structures regularly face challenges which include donor scarcity, wastage, mismanagement and shortage of actual-time traceability. E-Bloodline, a conceptual framework integrating synthetic Intelligence (AI), system learning (ML) and Blockchain, goals to revolutionize blood financial institution operations. This evaluation discusses how E-Bloodline can allow actual-time donor profiling, blood stock prediction, smart scheduling and at ease digital traceability the use of decentralized technology. the mixing of AI permits for demand forecasting and most beneficial usage of assets, while Blockchain ensures statistics safety, transparency, and tamper-evidence donor-recipient information assist the potential of smart platforms in lowering blood wastage and enhancing healthcare shipping. The adoption of E-Bloodline-like systems should extensively beautify the availability, safety and efficiency of blood transfusion services, particularly in useful resource-constrained settings. Further research is suggested to discover actual-global implementation challenges, consisting of statistics privateness, machine interoperability and moral issues.},
        keywords = {Artificial Intelligence (AI), Blockchain Technology, E-Bloodline System, Blood Bank Management, Internet of Things, Predictive Analytics.},
        month = {March},
        }