Predictive Analytics and Blockchain for Securing Healthcare Supply Chains

Prof. Priyanka Singhal

Abstract


This paper investigates the use of predictive analytics and blockchain technology to secure healthcare supply chains. AI models are employed to forecast disruptions and detect anomalies in the supply chain, while blockchain provides an immutable ledger to track the provenance of medical supplies. A real-world case study on vaccine distribution demonstrates the system’s ability to enhance transparency and mitigate risks such as counterfeiting and delays. This research showcases a robust solution for improving resilience in healthcare logistics.

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