Research on the application of big data in distribution of national drug reference standards
GAO Zhi-feng
LUO Chen
AN Ran
ZHAO Zong-ge
WU Xian-fu
YANG Hui-ying
Abstract：Reference standards serve as a critical material foundation for drug quality control,and the lawful distribution of the national drug reference standards is one of the core functions of National Institutes for Food and Drug Control(NIFDC).As a driving force for new-quality productivity,big data has improved the precision and intelligence of reference standard distribution management.To improve the efficiency of reference standard management,this study analyzes user demand data,examines distribution workflows,and summarizes pratical applications of big data technologies.This findings indicate that big data technology has a wide range of applications in building a continuous cycle system,optimizing distribution models for specific varieties,sorting out the characteristics of distribution methods,integrating packaging and transportation processes,etc.Based on these insights,recommendations are proposed,including establishing an intelligent user feedback system,linking and sharing data between reference substances and drug standards,and optimizing workload allocation.These suggestions provide a reference for further enhancing the efficiency of reference substance management.
Keywords：drug reference standardsdistributionbig data
Publication Date：2026-01-15
Online Publishing Date：2026-08-14(First online date of this platform, not the publication date of the document)
Pages：4( 24-27 )