Designing a Blockchain Based Model for Secure and Effective Pharmaceutical Supply Chains

DOI

10.2991/978-94-6239-789-7_42How to use a DOI?

Keywords

Decentralization data storage; Pharmaceutical Supply Chain; Drug Traceability; Blockchain; Verification using QR Code; Verification using product ID

Abstract

Proposed study represents the blockchain framework using Ethereum tool for pharmaceutical supply chain. Proposed blockchain based pharmaceutical supply chain can trace the drug batches from different stakeholders which makes data more immutable, secure as well as data is decentralized. In the proposed method admin can add the different stakeholders to the secure and decentralized database using Ethereum. Users such as pharmacies, distributor, manufacturer, raw material supplier are added by the admin to the application. Proposed system is designed with smart contract using solidity programming. End user can verify and trace the product using QR code-based verification or product batch number. For maintaining secure and reducing counterfeit risk proposed application provide transparent solution for real time pharmaceutical data. Proposed method is the combination of blockchain technology using Ethereum tool and Django framework for web application where this application provide total security, traceability higher efficiency for product management in supply chain.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

TY  - CONF
AU  - Ruheen Sumal
AU  - Vivek Kumar
PY  - 2026
DA  - 2026/10/08
TI  - Designing a Blockchain Based Model for Secure and Effective Pharmaceutical Supply Chains
BT  - Proceedings of theInternational Conference on Innovation and Practices in Artificial Intelligence (ICIPAI 2026)
PB  - Atlantis Press
SP  - 644
EP  - 654
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6239-789-7_42
DO  - 10.2991/978-94-6239-789-7_42
ID  - Sumal2026
ER  -