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International Journal of Telemedicine and Applications
Volume 2017, Article ID 1503298, 15 pages
Research Article

Research on Optimization of Pooling System and Its Application in Drug Supply Chain Based on Big Data Analysis

Economics and Management School, Jiujiang University, Jiujiang 332005, China

Correspondence should be addressed to DengFeng Wu; moc.liamtoh@5011gnefgneduw

Received 30 September 2016; Revised 22 December 2016; Accepted 11 January 2017; Published 15 February 2017

Academic Editor: Xi Zhao

Copyright © 2017 DengFeng Wu and Hongyi Mao. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Reform of drug procurement is being extensively implemented and expanded in China, especially in today’s big data environment. However, the pattern of supply mode innovation lags behind procurement improvement. Problems in financial strain and supply break frequently occur, which affect the stability of drug supply. Drug Pooling System is proposed and applied in a few pilot cities to resolve these problems. From the perspective of supply chain, this study analyzes the process of setting important parameters and sets out the tasks of involved parties in a pooling system according to the issues identified in the pilot run. The approach is based on big data analysis and simulation using system dynamic theory and modeling of Vensim software to optimize system performance. This study proposes a theoretical framework to resolve problems and attempts to provide a valuable reference for future application of pooling systems.