Li Kaiyuan, Feng Cong, Jia Lijing, Chen Li, Pan Fei, Li Tanshi
Department of Emergency, General Hospital of the PLA, Beijing 100853, China. Corresponding author: Li Tanshi, Email:
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue. 2018 May;30(5):494-496. doi: 10.3760/cma.j.issn.2095-4352.2018.05.021.
To introduce Medical Information Mart for Intensive Care (MIMIC) database and elaborate the approach of critically emergent research with big data based on the feature of MIMIC and updated studies both domestic and overseas, we put forward the feasibility and necessity of introducing medical big data to research in emergency. Then we discuss the role of MIMIC database in emergency clinical study, as well as the principles and key notes of experimental design and implementation under the medical big data circumstance. The implementation of MIMIC database in emergency medical research provides a brand new field for the early diagnosis, risk warning and prognosis of critical illness, however there are also limitations. To meet the era of big data, emergency medical database which is in accordance with our national condition is needed, which will provide new energy to the development of emergency medicine.
为介绍重症监护医学信息数据库（MIMIC），并基于MIMIC的特点以及国内外最新研究成果阐述利用大数据进行危重症研究的方法，我们提出将医学大数据引入急诊研究的可行性和必要性。接着探讨了MIMIC数据库在急诊临床研究中的作用，以及医学大数据环境下实验设计与实施的原则和要点。MIMIC数据库在急诊医学研究中的应用为危重症的早期诊断、风险预警和预后提供了全新领域，但也存在局限性。为顺应大数据时代，需要建立符合我国国情的急诊医学数据库，这将为急诊医学的发展注入新动力。
