Construction of Drug Intelligence Network Chain System

DOI

10.2991/acsr.k.191223.041How to use a DOI?

Keywords

drug supply chain, intelligence network chain, drug intelligence network chain

Abstract

There are some problems in drug supply chain, such as insufficient drug research and development capacity, low modernization level of drug production management, long and inefficient drug circulation, backward informatization level of drug sales. Building drug intelligence network chain based on high-tech is an important way to improve drug service efficiency, control drug cost, improve medical service quality, and improve social and economic benefits, which helps to ensure drug safety, drug accessibility, and rational use in low population density areas. On the basis of relevant theoretical research, this paper clarifies the concepts of drug supply chain system and drug intelligence network chain, and points out that drug intelligence network chain is a “three-flow” cooperative operation network chain based on information flow, logistics and capital flow of drug supply chain, including three-layer system structures of information sharing layer, cooperative operation layer and intelligent decision layer. Based on the current situation and existing problems of the drug supply chain, this paper designs a drug intelligent network chain scheme and constructs a business system of the drug intelligent network chain. It constructs a drug intelligent network chain coordination platform based on the “three flows" cooperative operation of information flow, logistics and capital flow to realize the construction of the drug intelligent network chain system.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Liyan Wang
AU  - Xiuping Zhang
PY  - 2019
DA  - 2019/12/24
TI  - Construction of Drug Intelligence Network Chain System
BT  - Proceedings of the 2019 International Conference on Big Data, Electronics and Communication Engineering (BDECE 2019)
PB  - Atlantis Press
SP  - 180
EP  - 186
SN  - 2352-538X
UR  - https://doi.org/10.2991/acsr.k.191223.041
DO  - 10.2991/acsr.k.191223.041
ID  - Wang2019
ER  -