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作 者:张昊[1] 张雷[2] 王韬[1] ZHANG Hao;ZHANG Lei;WANG Tao(Information Center,Beijing Tiantan Hospital,Capital Medical University,Beijing 100070,China;Goodwill Health Technology Co,Ltd.,Beijing 100085,China)
机构地区:[1]首都医科大学附属北京天坛医院信息中心,北京100070 [2]北京嘉和美康信息技术有限公司
出 处:《中国卒中杂志》2020年第7期809-812,共4页Chinese Journal of Stroke
摘 要:新时期医院的业务信息系统数量日益增长,医院积累了多种业务系统的大量临床数据,但大量数据不等于大数据,大数据是大量有内在逻辑关系的数据,是可用于统计分析的标准化数据。临床数据中心是通过集成平台将疾病资料标准化处理,按照逻辑关系分类存储的数据仓库。根据不同主题建设临床数据中心,可使数据更为有效地得以利用。本文对建设脑血管病临床数据中心的经验进行介绍,针对不同主题进行设计建设,可以高效、可靠和方便地对脑血管病诊疗数据进行集中管理和使用,从而改善医疗流程,提高医疗质量,促进医院的管理决策和科学研究。The number of hospital business information systems is increasing in the new era,and the hospital has accumulated a large amount of clinical data for each business system.However,a large amount of data is not equal to big data.Big data is a large amount of data with inherent logical relationships,which can be used for statistical analysis of standardized data.When constructing a data center,the clinical data were firstly standardized through an integrated platform,then the standardized data were stored in this data center in certain logical categories.The data center is actually a data warehouse and built according to different themes,which can make the data used more effectively.Tiantan Hospital has built a cerebrovascular disease clinical data center,which is designed and constructed for different topics according to this discipline characteristics.The cerebrovascular disease clinical data center can enable centralized management and efficient use of data,improve medical process and medical quality,and optimize the hospital management decision-making and scientific research.
分 类 号:R197.32[医药卫生—卫生事业管理]
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