AN EFFICIENT BLOCKCHAIN-BASED DRUG VERIFICATION SYSTEM THAT DETECTS UNAUTHORIZED DRUGS VIA QR CODES
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Abstract
Counterfeit medicines are a significant global public health risk, eroding trust in healthcare systems and causing enormous financial losses in the pharmaceutical sector. Traditional methods for detecting counterfeit medicines are typically labour-intensive, susceptible to errors, and time-consuming. This article presents a solution that uses blockchain technology and sophisticated data analytics to develop an open and secure platform for detecting counterfeit medicines. Blockchain offers a decentralized, tamper-evident record book that monitors pharmaceutical products along the supply chain to maintain transparency and traceability of manufacturing information, batch numbers, and distribution history. Stakeholders can immediately detect counterfeit medicines and trace tampering to its origin. The platform leverages cutting-edge analytics to identify drug distribution anomalies and label discrepancies, providing predictive intelligence to help manage risks. This forward-looking, data-driven strategy complements existing detection mechanisms and acts as a unified hub for data analysis, allowing stakeholders to realize trends and enhance supply chain security. Finally, the platform enhances trust and collaboration between regulators, manufacturers, healthcare professionals, and consumers and ultimately creates a more secure environment for pharmaceuticals.
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