Zhao Yuzhuo, Wang Junmei, Pan Fei, Li Peiyao, Jia Lijing, Li Kaiyuan, Feng Cong, Liu Tongbo, Zhang Zhengbo, Cao Desen, Li Tanshi
Department of Emergency, Chinese PLA General Hospital, Beijing 100853, China (Zhao YZ, Pan F, Jia LJ, Li KY, Feng C, Li TS); Department of Engineering and Maintenance Center, Chinese PLA General Hospital, Beijing 100853, China (Li PY, Zhang ZB, Cao DS); Department of Computer Application and Management, Chinese PLA General Hospital, Beijing 100853, China (Liu TB); Medical Information Center, Chinese PLA General Hospital, Beijing 100853, China (Zhang ZB); School of Biological Science and Medical Engineering, Beihang University, Beijing 100191, China (Wang JM). Corresponding author: Li Tanshi, Email:
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue. 2018 Jun;30(6):609-612. doi: 10.3760/cma.j.issn.2095-4352.2018.06.022.
To construct a database containing multiple kinds of diseases that can provide "real world" data for first-aid clinical research.
Structured or non-structured information from hospital information system, laboratory information system, emergency medical system, emergency nursing system and bedside monitoring instruments of patients who visited department of emergency in PLA General Hospital from January 2014 to January 2018 were extracted. Database was created by forms, code writing, and data process.
Emergency Rescue Database is a single center database established by PLA General Hospital. The information was collected from the patients who had visited the emergency department in PLA General Hospital since January 2014 to January 2018. The database included 530 585 patients' information of triage and 22 941 patients' information of treatment in critical rescue room, including information related to human demography, triage, medical records, vital signs, lab tests, image and biological examinations and so on. There were 12 tables (PATIENTS, TRIAGE_PATIENTS, EMG_PATIENTS_VISIT, VITAL_SIGNS, CHARTEVENTS, MEDICAL_ORDER, MEDICAL_RECORD, NURSING_RECORD, LAB_TEST_MASTER, LAB_RESULT, MEDICAL_EXAMINATION, EMG_INOUT_RECORD) that containing different kinds of patients' information.
The setup of high quality emergency databases lay solid ground for scientific researches based on data. The model of constructing Emergency Rescue Database could be the reference for other medical institutions to build multiple-diseases databases.
构建一个包含多种疾病的数据库,可为急救临床研究提供“真实世界”数据。
提取2014年1月至2018年1月期间在中国人民解放军总医院急诊科就诊患者的医院信息系统、实验室信息系统、急救医疗系统、急救护理系统及床边监测仪器中的结构化或非结构化信息。通过表单、代码编写和数据处理创建数据库。
急救数据库是中国人民解放军总医院建立的单中心数据库。信息收集自2014年1月至2018年1月期间在中国人民解放军总医院急诊科就诊的患者。该数据库包括530585例患者的分诊信息和22941例重症抢救室患者的治疗信息,包括人口统计学、分诊、病历、生命体征、实验室检查、影像及生物学检查等相关信息。有12个表(患者表、分诊患者表、急诊患者就诊表、生命体征表、护理记录事件表、医嘱表、病历表、护理记录表、实验室检查主表、实验室检查结果表、医学检查表、急诊出入记录表)包含不同类型的患者信息。
高质量急救数据库的建立为基于数据的科研奠定了坚实基础。构建急救数据库的模式可为其他医疗机构建立多病种数据库提供参考。