Design and Implementation of Big Data Platform for Medical Consumables
Objective In order to improve the efficiency and accuracy of data analysis of medical consumables and ensure the timeliness of data analysis,a big data platform for medical consumables will be established.Methods Based on data lake technology,ETL technology,memory database technology,etc.,the corresponding hardware equipment is deployed to build a four-tier architecture of medical consumables big data platform.Results The platform realized the loading of hundreds of millions of data items and the on-demand use of data,established various application modules for a total of 16 categories and more than 60 subcategories.The data analysis time was shortened from one month in the traditional way to 1-4 days,and the number of data analysts was reduced by 2.Conclusion The medical consumables big data platform greatly improved the analysis efficiency of medical consumables data.It was an effective support tool for the fine management of medical consumables in hospitals and had high practical value.
medical consumablesbig datadata analysis platformfine management
NETL
NSTL
万方数据
