[Construction of integrated platform for emergency clinical scientific research based on big data].

作者：Gongxu Zhu, Yunmei Li, Xiaohui Chen, Yanling Li, Yongcheng Zhu, Haifeng Mao, Zhenzhong Qu, Kunlian Li, Sai Wang, Guangqian Yang, Huijing Lu, Huilin Jiang · 发表于：PubMed · 年份：2023 · DOI：10.3760/cma.j.cn121430-20230403-00240 · 研究领域：Medicine、Medical emergency、Emergency medicine、Family medicine、Surgery、Engineering、Psychiatry、Electrical engineering

OBJECTIVE: To explore clinical rules based on the big data of the emergency department of the Second Affiliated Hospital of Guangzhou Medical University, and to establish an integrated platform for clinical research in emergency, which was finally applied to clinical practice. METHODS: Based on the hospital information system (HIS), laboratory information system (LIS), emergency specialty system, picture archiving and communication systems (PACS) and electronic medical record system of the Second Affiliated Hospital of Guangzhou Medical University, the structural and unstructured information of patients in the emergency department from March 2019 to April 2022 was extracted. By means of extraction and fusion, normalization and desensitization quality control, the database was established. In addition, data were extracted from the database for adult patients with pre screening triage level III and below who underwent emergency visits from March 2019 to April 2022, such as demographic characteristics, vital signs during pre screening triage, diagnosis and treatment characteristics, diagnosis and grading, time indicators, and outcome indicators, independent risk factors for poor prognosis in patients were analyzed. RESULTS: (1) The data of 338 681 patients in the emergency department of the Second Affiliated Hospital of Guangzhou Medical University from March 2019 to April 2022 were extracted, including 15 modules, such as demographic information, triage information, visit infor...