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Blockchain-based solution for secure and transparent pharmaceutical supply chain management using drugledger
1School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, 632014, Tamil Nadu, India.
Scientific Reports
|June 22, 2026
Summary
This study introduces a blockchain and IPFS framework to enhance pharmaceutical supply chain traceability and combat counterfeit medicines. The prototype demonstrates secure tracking and verification, offering a foundation for improved drug safety.
Area of Science:
- Computer Science
- Pharmacology
- Supply Chain Management
Background:
- The pharmaceutical supply chain faces critical issues like counterfeit drugs, poor traceability, and lack of transparency.
- These challenges compromise patient safety and trust in the global medicine distribution network.
Purpose of the Study:
- To develop and validate a novel blockchain and InterPlanetary File System (IPFS)-based framework for enhanced pharmaceutical product traceability.
- To improve the security, transparency, and verifiability of pharmaceutical products throughout the supply chain.
Main Methods:
- Implementation of a prototype system using blockchain technology (Ethereum-compatible environments) and IPFS for decentralized storage.
- Integration of role-based smart contracts for managing access and operations within the supply chain.
- Validation through workflow measurements in Remix VM and deployment on the Sepolia public testnet.
Main Results:
- The system successfully demonstrated end-to-end traceability, including participant registration, product enrollment, manufacturing, ownership transfers, and authenticity verification.
- Consistent gas consumption was observed for core operations, providing predictable computational costs.
- The framework proved viable at the prototype level for secure tracking and verification.
Conclusions:
- The proposed blockchain and IPFS framework offers a promising solution for enhancing pharmaceutical supply chain traceability and combating counterfeit medicines.
- Further research is necessary to evaluate scalability, latency, and performance under real-world, large-scale operational conditions.
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