Pharmacy Fraud Detection using Block Chain by Scanning QR Code

Ritesh Sanjay Lolusare; Aniket Kokate; Rupak Ganvir; Priyanka Sarode; Ishank Thakre; Prashant Govardhan

Pharmacy Fraud Detection using Block Chain by Scanning QR Code

May 2023

Vol-9, Issue-3

Paper ID: 20660

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Computer Science & Engineering

Keywords

A blockchain in its most basic form is a network made up of machines that copies and communicates a digital ledger of transactions. A record of the mileage associated with each new valid interest is recorded to each person's ledger each time it enters the ledger. There are several transactions on each blockchain. Disbursed ledger (DLT) refers to the decentralized ledger that might be maintained by various parties.

Abstract

The pharmaceutical business is one of many that is driving digital transformation with blockchain technology. Lack of transparency, difficulty tracing items, a lack of confidence, and the distribution of out-of-date medicines are all problems in the pharmaceutical industry. Several of these issues have been resolved using blockchain technology. In this article, we give a thorough analysis of the literature on blockchain use in the pharmaceutical sector. We gathered, evaluated, classified, and talked about studies pulled from some databases. Preventing the sale of counterfeit drugs was the most popular category, which is consistent with the pharmaceutical industry's main goal. Data governance, data quality, pharmaceutical turnover, and prescription medication monitoring were the more recent subjects covered in this study.

License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author Information

#	Name	Institute / Affiliation
1	Ritesh Sanjay Lolusare	Priyadarshini College Of Engineering
2	Aniket Kokate	Priyadarshini College Of Engineering
3	Rupak Ganvir	Priyadarshini College Of Engineering
4	Priyanka Sarode	Priyadarshini College Of Engineering
5	Ishank Thakre	Priyadarshini College Of Engineering
6	Prashant Govardhan	Priyadarshini College Of Engineering

How to Cite

Use the following formats to cite this article in your research.

APA Style

Lolusare, Ritesh Sanjay, Kokate, Aniket, Ganvir, Rupak, Sarode, Priyanka, Thakre, Ishank, & Govardhan, Prashant (2023). Pharmacy Fraud Detection using Block Chain by Scanning QR Code. International Journal of Advance Research and Innovative Ideas In Education, 9(3), 3481-3486.

MLA Style

Lolusare, Ritesh Sanjay, et al. "Pharmacy Fraud Detection using Block Chain by Scanning QR Code." International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 3, 2023, pp. 3481-3486.

IEEE Style

Ritesh Sanjay Lolusare, Aniket Kokate, Rupak Ganvir, Priyanka Sarode, Ishank Thakre, and Prashant Govardhan, "Pharmacy Fraud Detection using Block Chain by Scanning QR Code," International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 3, pp. 3481-3486, 2023.

Vancouver Style

Lolusare Ritesh Sanjay, Kokate Aniket, Ganvir Rupak, Sarode Priyanka, Thakre Ishank, Govardhan Prashant. Pharmacy Fraud Detection using Block Chain by Scanning QR Code. International Journal of Advance Research and Innovative Ideas In Education. 2023;9(3):3481-3486.

Harvard Style

Lolusare, Ritesh Sanjay, Kokate, Aniket, Ganvir, Rupak, Sarode, Priyanka, Thakre, Ishank, & Govardhan, Prashant (2023) 'Pharmacy Fraud Detection using Block Chain by Scanning QR Code', International Journal of Advance Research and Innovative Ideas In Education, 9(3), pp. 3481-3486.

Chicago Style

Lolusare, Ritesh Sanjay, et al. "Pharmacy Fraud Detection using Block Chain by Scanning QR Code." International Journal of Advance Research and Innovative Ideas In Education 9, no. 3 (2023): 3481-3486.

Turabian Style

Lolusare, Ritesh Sanjay, et al. "Pharmacy Fraud Detection using Block Chain by Scanning QR Code." International Journal of Advance Research and Innovative Ideas In Education 9, no. 3 (2023): 3481-3486.