Construction of multi-parameter emergency database and preliminary application research.
10.7507/1001-5515.201809032
- Author:
Junmei WANG
1
;
Tongbo LIU
2
;
Yuyao SUN
3
;
Peiyao LI
4
;
Yuzhuo ZHAO
5
;
Zhengbo ZHANG
6
,
7
,
8
;
Wanguo XUE
9
;
Tanshi LI
5
;
Desen CAO
4
Author Information
1. School of Biological Science and Medical Engineering, Beihang University, Beijing 100191, P.R.China.
2. Computer Department, Chinese PLA General Hospital, Beijing 100853, P.R.China.
3. School of Software, Southeast University, Suzhou, Jiangsu 215123, P.R.China.
4. Medical Engineering Support Center, Chinese PLA General Hospital, Beijing 100853, P.R.China.
5. Emergency Department, Chinese PLA General Hospital, Beijing 100853, P.R.China.
6. Medical Engineering Support Center, Chinese PLA General Hospital, Beijing 100853, P.R.China
7. Medical Big Data Center, Chinese PLA General Hospital, Beijing 100853, P.R.China
8. Medical Device Research and Development and Evaluation Center, Chinese PLA General Hospital, Beijing 100853, P.R.China.zhengbozhang@126.com.
9. Medical Big Data Center, Chinese PLA General Hospital, Beijing 100853, P.R.China.
- Publication Type:Journal Article
- Keywords:
acute and critical illness;
clinical decision making;
emergency database;
medical database
- MeSH:
Big Data;
Critical Care;
Databases, Factual;
Humans;
Medical Informatics
- From:
Journal of Biomedical Engineering
2019;36(5):818-826
- CountryChina
- Language:Chinese
-
Abstract:
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.
