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Impact Factor : 8.14

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Paper Title: Fake Medicine Detection Using Blockchain
Authors Name: Vaishnavi Mitapelli , Sana Nasur , Pranali Pawar , Disha Deshmane , Amruta Amit Kothavade
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IJRTI_185733
Published Paper Id: IJRTI2304044
Published In: Volume 8 Issue 4, April-2023
DOI:
Abstract: Healthcare supply chains are complex structures gauging across multiple organizational and geographical boundaries, furnishing critical backbone to services vital for everyday life. The essential complexity of similar systems can introduce contaminations including inaccurate information, lack of translucency and limited data provenance. Fake medicines are one consequence of similar limitations within being supply chains which not only has serious adverse impact on mortal health but also causes severe profitable loss to the healthcare industry. Accordingly, being studies have emphasized the need for a robust, end- to- end track and trace system for pharmaceutical supply chains. Therein, an end- to- end product shadowing system across the pharmaceutical supply chain is consummate to icing product safety and barring fakes. Fake medicines are an expanding serious issue associated with the healthcare industry which causes extreme consequences to the society. The traceability of the medicines throughout the pharma supply chain is a delicate task. Another serious issue in combating fake drugs in healthcare systems is the conservation and sharing of health records. The security of e health records is of high concern as they're prone to confidentiality and integrity consequences. The negligence of these consequences might have severe consequences to the healthcare systems like death of the case. Therefore, the need arises to design a blockchain based system which helps in fighting with the falsified drugs and icing the security of e-health records. The being supply chain for the pharmaceutical industry is obsolete and lacks clear visibility over the entire system. Also, the rotation of fake medicines in the request has increased over the times. According to the who report, around 10.5% of the medicinal medicines in lower/ middle income countries are fake and similar medicines may pose serious consequences to public health, occasionally leading to death. Keeping these consequences in mind, in this paper, we propose a blockchain- based model to track the movement of medicines from the industry to the case and to minimize the chances of a medicine being fake. The reasons for using blockchain technology in our work include its invariability property and easy shadowing of a reality in the blockchain. Through this proposed model, the manufacturer would be suitable to upload the details corresponding to a medicine, after which it'll be transferred for blessing our perpetration of the proposed blockchain based model highlights that the model can successfully descry any medicine being fake. This will be salutary for the druggies getting affected with fake medicines. Also, with the proposed model, we can also track the movement of the medicine beginning from the manufacturer right up to the case consuming that medicine.
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Cite Article: "Fake Medicine Detection Using Blockchain", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 4, page no.270 - 275, April-2023, Available :http://www.ijrti.org/papers/IJRTI2304044.pdf
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ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI2304044
Registration ID:185733
Published In: Volume 8 Issue 4, April-2023
DOI (Digital Object Identifier):
Page No: 270 - 275
Country: Mumbai, Maharashtra, India
Research Area: Information Technology 
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2304044
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2304044
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

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