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山东大学学报（医学版） ›› 2015, Vol. 53 ›› Issue (10): 42-45.doi: 10.6040/j.issn.1671-7554.0.2015.728

• 临床医学 • 上一篇    下一篇

基于Web构建山东省阿尔茨海默病临床数据库

葛树建1,2, 林炜炜3, 丛琳4, 张涛1, 韩晓娟4, 张清华4, 杜怡峰4   

  1. 1. 山东大学公共卫生学院, 山东 济南 250012;
    2. 山东大学附属省立医院科教部, 山东 济南 250021;
    3. 山东大学附属省立医院统计与病案管理科, 山东 济南 250021;
    4. 山东大学附属省立医院神经内科, 山东 济南 250021
  • 收稿日期:2015-08-03 出版日期:2015-10-10 发布日期:2015-10-10
  • 通讯作者: 杜怡峰。E-mail:duyifeng2013@163.com E-mail:duyifeng2013@163.com
  • 基金资助:
    山东省科技攻关计划(2014GGB14190)

Establishment of clinical database of Alzheimer's disease based on Web in Shandong Province

GE Shujian1,2, LIN Weiwei3, CONG Lin4, ZHANG Tao1, HAN Xiaojuan4, ZHANG Qinghua4, DU Yifeng4   

  1. 1. School of Public Health, Shandong University, Jinan 250012, Shandong, China;
    2. Department of Science and Education, Shandong Provincial Hospital Affiliated to Shandong University, Jinan 250021, Shandong, China;
    3. Department of Statistics and Medical Record Management, Shandong Provincial Hospital Affiliated to Shandong University, Jinan 250021, Shandong, China;
    4. Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong University, Jinan 250021, Shandong, China
  • Received:2015-08-03 Online:2015-10-10 Published:2015-10-10

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摘要： 目的 建立山东省阿尔茨海默病(AD)临床数据库,探讨其在AD患者临床、影像、检验等信息一体化管理中的价值。方法 基于J2EE框架和Oracle 10 g数据库,采用浏览器/服务器(B/S)架构,以Java为编程语言,结合AD临床诊疗特点,构建山东省AD临床数据库。结果 采用AD临床数据标准,以身份证号为惟一标识,采用分级管理权限,收集患者临床、认知评估、影像学、生化检查以及随访信息,成功建立AD数据应用体系。结论 通过规范AD数据库的相关标准,制定用于AD早期诊断的科学规范的流程,消除区域内医疗机构间AD数据孤岛,可实现信息共享的全方位业务协同。

关键词: 临床数据库, Web技术, 大数据, 信息共享, 阿尔茨海默病

Abstract: Objective To establish Alzheimer's disease (AD) clinical database in Shandong Province and investigate its applications in the managements of clinical data, imaging data and examination results of AD patients. Methods The database was constructed based on J2EE framework, Oracle 10 g database, Browser/Server(B/S) structure and Java language. Results The clinical data, cognitive assessment, imaging results, biochemical examination results and follow-up information of AD patients were collected according to the following characteristics: AD clinical data standards, ID number and hierarchical management permissions. Based on this, AD outpatient cases database, early AD diagnosis database, AD epidemiological network were established, and AD medical quality monitoring research could be pursued. Conclusion This research can normalize related standards of AD database, formulate scientific and standardized process of early AD diagnosis, eliminate regional AD information islands in different medical institutions, and realize information sharing among all the business.

Key words: Alzheimer's disease, Information sharing, Clinical database, Web technology, Big data

中图分类号: 

  • R741
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