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A semantic blockchain-based system for drug traceability

Published: 26 May 2023 Publication History

Abstract

Drug traceability is currently a very challenging area given the complexity of several issues, including drug quality and counterfeit medications. The counterfeited drugs have a major impact on human life, treatment outcomes and economic burden. To deal with these issues, we propose a semantic blockchain-based system for drug traceability that aims at detecting counterfeit drugs in order to improve the patients’ safety and quality of life as well as eliminating manufacturers’ potential loss and increasing their revenue. Our proposal is based on blockchain and semantic web technologies to enhance the representation capability of data in the pharmaceutical supply chain.

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  • (2024)Drug traceability system based on semantic blockchain and on a reputation methodWorld Wide Web10.1007/s11280-024-01301-327:5Online publication date: 6-Sep-2024

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IDEAS '23: Proceedings of the 27th International Database Engineered Applications Symposium
May 2023
222 pages
ISBN:9798400707445
DOI:10.1145/3589462
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 May 2023

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Author Tags

  1. Blockchain
  2. Data Integration
  3. Drugs
  4. Semantic web
  5. Traceability

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IDEAS '23

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Overall Acceptance Rate 74 of 210 submissions, 35%

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  • (2024)Drug traceability system based on semantic blockchain and on a reputation methodWorld Wide Web10.1007/s11280-024-01301-327:5Online publication date: 6-Sep-2024

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