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Drug Verification System Using Quick Response Code

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Information and Communication Technology and Applications (ICTA 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1350))

Abstract

Drug errors and abuses are the most frequently reported deficiencies in the healthcare sector worldwide. In the US alone over $3.5 billion has been expended on treatment related to drug errors that concern more than 1.5 million individuals. The drug is an important part of livelihood has faced the problem of authentication because medicines have to be tested to differentiate between the real and the fake. Drug code detection will reduce the risk of these mistakes by supplying the first responders with accurate information that can quickly decode this information using a code scanner on their smartphones and thus take the necessary steps against their use. The previous study implemented a desktop application system that checks for standardized drugs by scanning the Quick Response codes on the pack. Recently, lots of improvements have taken place in terms of smartphone development with various tools like cameras, which can be used to scan drug barcode. Therefore, the study developed a mobile application to scan the drugs' barcode and verify authenticity. The application designed using an integrated database for real-time drug authentications. The application was implemented using SQL running on a server and interacted with an Application Programming Interface (API) to serve as an intermediary between the application and the browser API built with an Object-relational mapping (ORM) called Sequelize. After code is scanned to gets its serial code, the API validates the serial code and releases a quick response code through a JavaScript Object Notation (JSON). The proposed system can be used by doctors, pharmacists and patients for the identification of fakes and harmful drugs, hence reduced the calculations of fakes or harmful drugs.

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Author information

Authors and Affiliations

  1. Department of Computer Science, Landmark University, Omu Aran, Nigeria

    Roseline Oluwaseun Ogundokun & Dennison Oluwatobi Umoru

  2. Department of Electrical and Information Engineering, Covenant University, Ota, Nigeria

    Sanjay Misra

  3. Department of Computer Science, University of Ilorin, Ilorin, Nigeria

    Joseph Bamidele Awotunde

Authors
  1. Roseline Oluwaseun Ogundokun
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  2. Joseph Bamidele Awotunde
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  3. Sanjay Misra
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  4. Dennison Oluwatobi Umoru
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Corresponding author

Correspondence to Roseline Oluwaseun Ogundokun .

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Editors and Affiliations

  1. Covenant University, Ota, Nigeria

    Sanjay Misra

  2. Federal University of Technology Minna, Minna, Nigeria

    Bilkisu Muhammad-Bello

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Ogundokun, R.O., Awotunde, J.B., Misra, S., Umoru, D.O. (2021). Drug Verification System Using Quick Response Code. In: Misra, S., Muhammad-Bello, B. (eds) Information and Communication Technology and Applications. ICTA 2020. Communications in Computer and Information Science, vol 1350. Springer, Cham. https://doi.org/10.1007/978-3-030-69143-1_41

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  • DOI: https://doi.org/10.1007/978-3-030-69143-1_41

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