EMERGENCY MEDICINE TRACKING SYSTEM USING BLOCKCHAIN TECHNOLOGY WITH HEALTHCARE SUPPLY CHAIN









Abstract

The blockchain is a decentralised system in which transactional or historical statistics are recorded, kept, and maintained by a peer-to-peer network of personal computers known as nodes. Counterfeit pharmaceuticals are one result of such constraints in existing supply chains, which not only have a negative impact on human health but also cost the healthcare business a lot of money. Blockchain technology is gaining a lot of traction, with a growing interest in a variety of applications like secure and easy healthcare data administration. Similarly, blockchain is transforming traditional healthcare methods into a more dependable way of powerful prognosis and treatment by allowing for secure and private data sharing via the SHA Hash Generation Algorithm. In the future, blockchain will most likely aid in tailored, authentic, and comfortable healthcare by combining all realtime scientific information on a patient's health and presenting it in a modern, comfortable healthcare setting. In this study, we use blockchain as a model to evaluate both current and emerging trends in the field of healthcare. We also discuss the blockchain packages, as well as the challenges faced and future perspectives. The proposed technology implemented blockchain in a distributed computing environment and provides automated chain repair utilising Consensus and Mining Algorithms. We describe a custom blockchain-based strategy for effective product tracing in the healthcare supply chain using smart contracts and decentralised off-chain storage in this system. The smart contract ensures data provenance, eliminates the need for middlemen, and provides all parties with a safe, immutable transaction history. We offer the system architecture as well as the detailed algorithms that regulate our proposed solution's functioning principles. We conduct testing and validation, as well as a cost and security study of the system, to determine its efficacy in improving traceability throughout pharmaceutical supply chains.


Modules


Algorithms


Software And Hardware