面向医疗场景的海量文件存储系统研究  

Research on Massive File Storage System for Medical Scenarios

作　　者：王红迁 吴昊 汪鹏 黄荣 周琳 WANG Hongqian;WU Hao;WANG Peng;HUANG Rong;ZHOU Lin(The First Hospital Affiliated Army Medical University,Chongqing,400038)

机构地区：[1]陆军军医大学第一附属医院,重庆市400038

出　　处：《中国卫生信息管理杂志》2022年第3期412-415,共4页Chinese Journal of Health Informatics and Management

基　　金：军事医学预研项目《陆军卫生大数据“战训管服”智能辅助支撑体系建设应用》(项目编号:2020XYY21);重庆市重点项目《临床诊断深度学习技术研究与平台建设》(项目编号:cstc2020jscx-dxwtBX0055)。

摘　　要：目的构建面向医疗领域的海量文件存储系统,帮助医护人员高效安全地存储医疗数据。方法研究常见的文件存储系统的缺点,设计采用基于Hadoop、Kafka、Redis、Mysql等技术构建一个海量大小文件存储平台。结果实现了在医疗场景下,除了患者诊疗数据之外的相关数据的安全存储,精准地为医护人员提供数据存储服务。结论海量文件存储系统可实现对多样、海量大小文件高效精准的存储,解决了目前多院区、多科室、多医生等场景下文件存储困难的问题。Objective To establish a storage system for massive files in medical field to help medical staff store medical data efficiently and safely.Methods This paper studies the shortcomings of common file storage systems,and designs a massive file storage platform based on Hadoop,Kafka,Redis,Mysql and other technologies.Results It has realized the safe storage of relevant data except patient medical data in the medical scenarios,and accurately provide data storage services for doctors.Conclusion This system can realize efficient and accurate storage of various massive files,which solve the problem of file storage difficulty in multi-area hospital,multi-department and multi-doctor scenarios.

关 键 词：海量文件 数据存储 Hadoop相关技术 医疗场景 

分 类 号：R-34[医药卫生] R319