Introduction of critical care database based on specialized information systems: a model of critical care medicine database in large Level Ⅲ Grade A hospital
10.3760/cma.j.cn121430-20200520-00393
- VernacularTitle:基于专科信息系统建立的重症医学数据库：大型三甲医院重症医学数据库的模式
- Author:
Shuang QI
1
;
Zhi MAO
;
Xin HU
;
Chao LIU
;
Hongjun KANG
;
Feihu ZHOU
Author Information
1. 解放军医学院，北京 100853；解放军总医院第一医学中心重症医学科，北京 100853
- From:
Chinese Critical Care Medicine
2020;32(6):743-749
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To further improve the department information system, and to establish a multi-parameter critical care medicine database, which can provide data for the analysis and research of big data in critical care medicine, and provide references for other medical institutions to establish relevant databases.Methods:On the premise of fully understanding the needs of clinical and scientific research, based on a Critical Care Medicine Clinical Information System, the department of critical care medicine of the First Medical Center of Chinese PLA General Hospital integrated the patients' case data in hospital information system (HIS), electronic medical records (EMR), monitoring information system (Monitor), laboratory information system (LIS), and radiation information system (RIS), to establish a rudimentary critical care database. On this basis, the related data were analyzed and verified. Further, this database was gradually improved in both its content and structure by referring to Medical Information Mart for Intensive CareⅢ (MIMIC-Ⅲ) database.Results:During the operation of Critical Care Medicine Clinical Information System from September 2017 to February 2020, the database collected diagnosis and treatment data of 2 207 critically ill patients, including data before the patient entering the intensive care unit (ICU) and all data during the ICU, such as demographic data, vital signs, medical treatment, the records of intake and output, sampling time, laboratory examination results, surgical treatment, and a variety of commonly used clinical scoring and diagnosis data. The data in the database were stored in different tables according to different contents, and the tables were connected to each other through the primary key. The data could be analyzed statistically through the information system and has been applied for certain clinical studies, combining clinical practices with scientific studies.Conclusions:The critical care medicine database based on the Critical Care Medicine Clinical Information System can help medical institutions to carry out standardized treatment and clinical research of critically ill patients. With further improvement of the function, the database can be better applied to the data analysis of Chinese critical patients.
