基于智能数据分析的医院财务管理决策系统的设计与实现  

Design and implementation of hospital financial management decision system based on intelligent data analysis

作　　者：艾学瑛[1] AI Xueying(Taihe Hospital of Shiyan Province,Shiyan Hubei 442000,China)

机构地区：[1]湖北省十堰市太和医院

出　　处：《自动化与仪器仪表》2019年第11期93-95,99,共4页Automation & Instrumentation

摘　　要：当前我国大部分医院财务管理系统的信息化进程较为落后,其原因是医院的财务管理系统效率低下、数据获取成本高、且处理不得当。针对传统医院财务管理决策系统存在的不足之处,结合当代最新的医院财务管理决策工作的发展趋势,并根据最新的数据分析思路,设计了基于B/S架构的医疗机构财务管理系统。通过对数据抓取、去噪与融合,使用规范数据模型(NORM DATA MODel,NDM)对采集的数据做优化处理。并基于J2EE体系开发了系统服务器,选择高性能的文档性数据库Mongo DB作为数据存储的方式。所提出的基于智能数据分析的医院财务管理决策系统,是对传统财务管理决策系统的完善和补充,具有较强的现实意义与应用价值。At present,the informationization process of the financial management system of most hospitals in China is relatively backward.The reason is that the financial management system of the hospital is inefficient,the data acquisition cost is high,and the treatment is not appropriate.This paper aims at the limitations of the traditional financial management system decision-making system of hospitals.According to the development and changes of modern hospital financial management decision-making work,combined with the latest data analysis ideas,the financial management system of medical institutions based on B/S architecture is designed.Through the data collection,cleaning and concentration,the financial data is integrated and optimized using the standard data model(SDM).And based on the J2 EE system,the system server was developed,and the high-performance document database MongoDB was selected as the data storage method.The hospital financial management decision-making system based on intelligent data analysis proposed in this thesis is a perfection and supplement to the traditional financial management decision-making system,which has strong practical significance and application value.

关 键 词：财务管理 智能数据 大数据 标准数据模型 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]