Using Django framework and DLT for Drug Supply Chain management

Marchesi L.
2023-01-01

Abstract

This paper presents a general-purpose approach for the drug supply chain management, by proposing a DLT-based methodology to facilitate and make more efficient the development of such applications. For specific domains, such as drug management and traceability, a system based on Django Python framework, on Ethereum blockchain, and on web3.py library has been developed that can be customized for most real supply chains, automatically generating the specific applications (database schema, smart contracts, apps). A case study about a simple drug traceability system for a producer to hospital wards is described, to show how this approach works.
2023
Inglese
Proceedings of the 2023 IEEE International Conference on Decentralized Applications and Infrastructures
IEEE COMPUTER SOC
10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA
94
99
6
International Conference on Decentralized Applications and Infrastructures
Esperti anonimi
Luglio 2023
Athens, Greece
scientifica
Drug Supply Chain; Smart Contracts; Permissioned Blockchain; Supply Chain Traceability; Django
no
4 Contributo in Atti di Convegno (Proceeding)::4.1 Contributo in Atti di convegno
Marchesi, L.
273
1
4.1 Contributo in Atti di convegno
partially_open
info:eu-repo/semantics/conferencePaper
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