Big data in emergency medcine and Datathon event
10.3760/cma.j.issn.2095-4352.2018.06.020
- VernacularTitle:急救大数据与Datathon活动
- Author:
Zhengbo ZHANG
1
,
2
;
Wanguo XUE
;
Desen CAO
;
Tanshi LI
Author Information
1. 100853 北京,解放军总医院医学工程保障中心
2. 100853 北京,解放军总医院医疗大数据中心
- Keywords:
Big data in healthcare;
Emergency medicine;
Cross-disciplinary collaboration;
Datathon;
Learning healthcare system
- From:
Chinese Critical Care Medicine
2018;30(6):603-605
- CountryChina
- Language:Chinese
-
Abstract:
A detailed, high-scale clinical data can be generated in the process of diagnosis and treatment of emergency critically ill patients. The integration and analysis and utilization of these data are of great value for improving the treatment level and efficiency and developing the data-driven clinical assistant decision support. China has large volume of health information resources, however, the construction of healthcare databases and subsequent secondary analysis has just started. With the effort of the Chinese PLA General Hospital in building an emergency database and promoting data sharing, the first emergency database was published in China and a health Datathon was organized utilizing this database, providing experience for clinical data integration, database construction, cross-disciplinary collaboration and data sharing. Referring to the development at home and abroad, this review discussed work in this area and further proposed establishing a big data cooperation for emergency medicine and building a learning healthcare system to integrate more clinical resources and form a closed loop of "clinical database construction-analysis-applications", and enhance the effectiveness of medical big data in reducing medical costs and improving healthcare delivery.
