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

Dengfeng Wu,Hongyi Mao

doi:10.1155/2017/1503298

Dengfeng Wu, Hongyi Mao

Open Access

https://doi.org/10.1155/2017/1503298

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Abstract

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.

Highlights

China has a population of more than 1.3 billion, which is one-fifth of the world population
Jia et al [22] established a model to demonstrate the indepth mechanism of the influence of medicine price policy on drug prescription; this study proposed countermeasures
Behzad et al [25] established a model and simulated the internal service supply chains of a healthcare system to study the effects of different parameters on the outputs and capability measures of processes

Summary

Introduction

China has a population of more than 1.3 billion, which is one-fifth of the world population. A Centralized Drug Procurement System was implemented in many provinces This system requires drug suppliers to attend bidding, and only those who win the bidding are provided with the opportunity to sell drugs at the bidding price to public hospitals in the province. The continuous use of the system generates a large amount of data which is updated every second, forming a complex and difficult environment for the health care reform in every aspect [11, 12]. The project team proposed the use of Drug Inventory Pooling System, which was applied to a number of pilot hospitals and suppliers in Jiujiang City, Jiangxi Province [1, 18]. This study is expected to provide a theoretical basis for the optimization of drug supply chain

Literature Review

Establishing a Simulation Model

Inventory Pooling Optimized by Key Variables

How Does the Pooling System Improve KPI

Findings

Conclusion