多参数急救数据库建设及初步应用研究  

Construction of multi-parameter emergency database and preliminary application research

作　　者：王俊梅 刘同波[2] 孙瑜尧 李沛尧 赵宇卓 张政波[4,6,7] 薛万国[6] 黎檀实[5] 曹德森[4,7] WANG Junmei;LIU Tongbo;SUN Yuyao;LI Peiyao;ZHAO Yuzhuo;ZHANG Zhengbo;XUE Wanguo;LI Tanshi;CAO Desen(School of Biological Science and Medical Engineering, Beihang University, Beijing 100191, P.R.China;Computer Department, Chinese PLA General Hospital, Beijing 100853, P.R.China;School of Software, Southeast University, Suzhou, Jiangsu 215123, P.R.China;Medical Engineering Support Center, Chinese PLA General Hospital, Beijing 100853, P.R.China;Emergency Department, Chinese PLA General Hospital, Beijing 100853, P.R.China;Medical Big Data Center, Chinese PLA General Hospital, Beijing 100853, P.R.China;Medical Device Research and Development and Evaluation Center, Chinese PLA General Hospital, Beijing 100853, P.R.China)

机构地区：[1]北京航空航天大学生物与医学工程学院,北京100191 [2]解放军总医院计算机室,北京100853 [3]东南大学软件学院,江苏苏州215123 [4]解放军总医院医学工程保障中心,北京100853 [5]解放军总医院急诊科,北京100853 [6]解放军总医院医疗大数据中心,北京100853 [7]解放军总医院医疗器械研发与评价中心,北京100853

出　　处：《生物医学工程学杂志》2019年第5期818-826,833,共10页Journal of Biomedical Engineering

基　　金：国家自然科学基金(61471398);北京市科委医药协同科技创新研究(Z181100001918023);解放军总医院医疗大数据研发项目(2016MBD-027)

摘　　要：医疗大数据的分析利用离不开高质量的临床数据库,我国在急救数据库建设方面尚处于起步和探索阶段。本文介绍了多参数急救数据库的构建思路和关键技术,参考麻省理工学院(MIT)计算生理学实验室创建的重症监护医学信息数据库(MIMIC-III)的架构设计,并结合急诊业务流和信息流,设计了急诊数据整合模型,完成了高质量急救数据库的建设。该数据库目前涵盖了2015年5月至2017年10月共19 814名不同患者的22 941次抢救医疗数据,包含相对完整的生理、生化、治疗、检查、护理等信息,并基于该数据库开展了首届急救大数据Datathon活动,全国有13个队伍参赛。急救数据库的建设为国内临床数据库的构建和应用提供了参考,为科学研究、临床决策和改善医疗服务质量提供了有力的数据支撑,将进一步推动我国临床数据的二次分析利用工作。The analysis of big data in medical field cannot be isolated from the high quality clinical database, and the construction of first aid database in our country is still in the early stage of exploration. This paper introduces the idea and key technology of the construction of multi-parameter first aid database. By combining emergency business flow with information flow, an emergency data integration model was designed with reference to the architecture of the Medical Information Mart for Intensive Care III(MIMIC-III), created by Computational Physiology Laboratory of Massachusetts Institute of Technology(MIT), and a high-quality first-aid database was built. The database currently covers 22 941 medical records for 19 814 different patients from May 2015 to October 2017, including relatively complete information on physiology, biochemistry, treatment, examination, nursing, etc. And based on the database, the first First-Aid Big Data Datathon event, which 13 teams from all over the country participated in, was launched. The First-Aid database provides a reference for the construction and application of clinical database in China. And it could provide powerful data support for scientific research, clinical decision making and the improvement of medical quality, which will further promote secondary analysis of clinical data in our country.

关 键 词：急救数据库 急危重症 医疗数据库 临床决策支持 

分 类 号：R459.7[医药卫生—急诊医学] TP311.13[医药卫生—治疗学]