吉林省乳腺癌筛查数据标准化采集系统的构建和数据库管理  

Construction and database management of standardized data acquisition system for breast cancer screening in Jilin Province

作　　者：于德利[1] 郑永焕 阴春霞[3] 江玉娟[1] 高宏英[4] YU Deli;ZHENG Yonghuan;YIN Chunxia;JIANG Yujuan;GAO Hongying(Department of Breast,Changchun Obstetrics and Gynecology Hospital,Jilin Province,Changchun 130000,China;Maternal and Child Health Service,Health Commission of Jilin Province,Jilin Province,Changchun 130000,China;Dean′s Office,Changchun Obstetrics and Gynecology Hospital,Jilin Province,Changchun 130000,China;the First Medical Treatment Area,Hepatobiliary Hospital of Jilin,Jilin Province,Changchun 130000,China)

机构地区：[1]长春市妇产医院乳腺科,吉林长春130000 [2]吉林省卫生健康委员会妇幼健康服务处,吉林长春130000 [3]长春市妇产医院院长室,吉林长春130000 [4]吉林省肝胆病医院内科一疗区,吉林长春130000

出　　处：《中国医药导报》2019年第27期167-172,共6页China Medical Herald

基　　金：吉林省卫生计生管理模式革新基金项目(2016G003)

摘　　要：目的探讨吉林省乳腺癌筛查数据标准化采集系统和大数据平台的构建及意义。方法2016年1月~2018年12月,将原国家卫计委颁布的《乳腺癌筛查信息采集表》利用JAVA语言编写为乳腺癌筛查数据标准化采集系统,内嵌于可直接接入互联网汇影iustar130便携式彩色超声诊断系统中。筛查过程中同步完成受筛者身份验证、筛查数据(图像、数值、文字说明等)采集。采集的数据经特殊的安全性处理后传输至云端进行存储,云端数据通过多种互联网终端设备凭权限进行有限制的检索及利用。省内各个市县地区的筛查数据在云端服务器汇总后形成吉林省的乳腺癌筛查大数据。结果2016年1月~2018年12月吉林省内8个地、市、区乳腺癌及乳腺癌前病变检出率为80.24/10万,早期乳腺癌69例,占比63.89%。吉林省乳腺癌筛查数据标准化采集系统实现筛查流程的标准化,提供数据采集的关键质控节点,使筛查数据的标准化采集、传输和存储一次性完成。保证了数据采集的准确性,提高了数据采集和使用的效率。结论吉林省乳腺癌筛查数据标准化采集系统是一个实用、高效、安全的数据采集、管理及应用系统,也是构建一个专业大数据平台的基本工具。筛查数据真实有效,可为临床科研,公共卫生的规划、管理、决策提供数据支撑。Objective To explore the construction and significance of standardized data acquisition system and large data platform for breast cancer screening in Jilin Province. Methods From January 2016 to December 2018, the Information Collection Form of Breast Cancer Screening promulgated by the former National Health Planning Commission was compiled into the Standardized Data Collection System of Breast Cancer Screening in JAVA language. It was embedded in the portable color ultrasound diagnostic system of iustar 130, which can be directly connected to the internet. In the process of screening, the identification of the screened person and the collection of screening data (included image, numerical value, text description, etc.) was completed simultaneously. After special security processing, the collected data was transmitted to the cloud for storage, and the cloud data was retrieved and utilized with limited privileges by a variety of Internet terminal devices. The screening data of various cities and counties in the Jilin Province form the large data of breast cancer screening in the province after being aggregated by cloud server. Results From 2016 January to 2018 December, the detection rate of breast cancer and precancerous lesions in eight prefectures, cities and districts in Jilin Province was 80.24/100 000, and early breast cancer accounted for 63.89%. The standardized data acquisition system of breast cancer screening in Jilin Province realized the standardization of screening process, provided key quality control nodes for data acquisition, and made the standardized collection, transmission and storage of screening data complete at one time. It ensured the accuracy of data acquisition and improved the efficiency of data acquisition and use. Conclusion The Standardized Data Acquisition System of Breast Cancer Screening in Jilin Province is a practical, efficient and safe data acquisition, management and application system, as well as a basic tool for building a professional large data platform. Screening data a

关 键 词：乳腺癌 筛查 大数据 云存储 

分 类 号：R737.9[医药卫生—肿瘤]