Yuzhuo Zhao1, Junmei Wang, Fei Pan, Peiyao Li, Lijing Jia, Kaiyuan Li, Cong Feng, Tongbo Liu, Zhengbo Zhang, Desen Cao, Tanshi Li. 1. 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: lts301@163.com.
Abstract
OBJECTIVE: To construct a database containing multiple kinds of diseases that can provide "real world" data for first-aid clinical research. METHODS: 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. RESULTS: 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. CONCLUSIONS: 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.
OBJECTIVE: To construct a database containing multiple kinds of diseases that can provide "real world" data for first-aid clinical research. METHODS: 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. RESULTS: 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. CONCLUSIONS: 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.