Abstract
The drug counterfeit problem has become global and so huge that it has drawn significant attention from everyone. The fake drug industry is worth $10B per year as estimated by survey. Also estimated by WHO, about a million die per year due to fake drugs. The distribution of fake drugs is a crucial issue. One of main reasons behind drug counterfeiting is imperfect supply chain. There are many loopholes in our drug supply chain. In the present scenario of supply chain, either the information is not at all shared between the parties during the hand-off process or a little or irrelevant information is shared, which has led to counterfeiting. The counterfeit drug not only affects the health condition of patients but also results in the financial loss of genuine manufacturer. In this paper, the details of the drug counterfeit have been explained along with its impact. Also, various measures to fight the counterfeits using blockchain technology have been discussed. Using blockchain technology traceability, visibility and security can also be incorporated into the drug supply chain. This proposed system will track the drugs from its origin, the manufacturer to the end, the consumer.
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References
Salman, T., M. Zolanvari, A. Erbad, R. Jain, and M. Samaka. 2018. Security services using blockchains: A state of the art survey. IEEE Communications Surveys and Tutorials 21 (1): 858–880.
Nakamoto, S. 2008. Bitcoin: A peer-to-peer electronic cash system.
Zheng, Z., S. Xie, H.-N. Dai, and H. Wang. 2016. Blockchain challenges and opportunities: A survey. International Journal of Web and Grid Services 1: 1–25.
Roehrs, A., C.A. da Costa, and R. da Rosa Righi. 2017. Omniphr: A distributed architecture model to integrate personal health records. Journal of Biomedical Informatics 71: 70–81.
Pharmaceutical industry in India. https://en.wikipedia.org/wiki/Pharmaceutical.
Mettler, M. 2016. Blockchain technology in healthcare: The revolution startshere. In 2016 IEEE 18th International conference on e-Health networking, applications and services (Healthcom), 1–3. IEEE.
Azaria, A., A. Ekblaw, T. Vieira, and A. Lippman. 2016. Medrec: Using blockchain for medical data access and permission management. In 2016 2nd International conference on open and big data (OBD), 25–30. IEEE.
Zhao, H., Y. Zhang, Y. Peng, and R. Xu. 2017. Lightweight backup and efficient recovery scheme for health blockchain keys. In 2017 IEEE 13th international symposium on autonomous decentralized system (ISADS), 229–234. IEEE.
Liang, X., J. Zhao, S. Shetty, J. Liu, and D. Li. 2017. Integrating blockchain for data sharing and collaboration in mobile healthcare applications. In 2017 IEEE 28th annual international symposium on personal, indoor, and mobile radio communications (PIMRC), 1–5. IEEE.
Dubovitskaya, A., Z. Xu, S. Ryu, M. Schumacher, and F. Wang. 2017. How Blockchain could empower eHealth: An application for radiation oncology. In Data management and analytics for medicine and healthcare. DMAH 2017, ed. E. Begoli, F. Wang, G. Luo, Lecture Notes in Computer Science, vol. 10494. Cham: Springer.
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Sahoo, M., Singhar, S.S., Sahoo, S.S. (2020). A Blockchain Based Model to Eliminate Drug Counterfeiting. In: Swain, D., Pattnaik, P., Gupta, P. (eds) Machine Learning and Information Processing. Advances in Intelligent Systems and Computing, vol 1101. Springer, Singapore. https://doi.org/10.1007/978-981-15-1884-3_20
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DOI: https://doi.org/10.1007/978-981-15-1884-3_20
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