重症大数据应用中国专家共识（2022）

·404·中华医学杂志2023年2月14日第103卷第6期Natl Med J China,February14,2023,Vol.103No.6·标准与规范·重症大数据应用中国专家共识(2022)中国卫生信息与健康医疗大数据学会重症医学分会北京肿瘤学会重症医学专业委员会通信作者：隆云，中国医学科学院北京协和医学院北京协和医院疑难重症及罕见病国家重点实验室重症医学科，北京l00730,Email:y_icu@aliyun.com【摘要】随着科技的发展与进步，重症医学的诊疗融入了越来越多的监测手段与治疗方法。这些多元化的监测数据具有实时性、连续性、动态性、多源性等特点，当前临床诊疗对其利用程度相对较低。重症患者病情瞬息万变，对多元数据的及时处理与整合变得至关重要。因此，近年来重症大数据应运而生。为了更好推动重症大数据在中国的规范化发展，在借鉴国内外相关文献和指南的基础上，中国卫生信息与健康医疗大数据学会重症医学分会组织专家就本共识包括重症大数据的概念、意义与必要性；重症大数据临床研究关注的临床科学问题；重症大数据库的建立、标准与原则；重症医学大数据问题解决途径与方法：重症大数据的临床应用五个方面制定了本共识，为临床医生及致力于重症大数据的科研工作者提供参考。【关键词】重症监护：重症医学：大数据基金项目：中央高水平医院临床科研专项(2022-PUMCH-B-115,2022-PUMCH-D-005):中国医学科学院医学与健康科技创新工程项目(2021-I2M-1-056):北京自然科学基金(7222134)；首都卫生发展科研专项(2020-2-40111)：2020年北京临床重点专科重症医学科卓越项目(ZK128001):首都临床诊疗技术研究及转化应用(Z201100005520051】Chinese expert consensus on the application ofintensive care big data(2022)Intensive Care Medicine Branch of China Health Information and Health Care Big Data Society,Intensive Care Medicine Professional Committee of Beijing Oncology SocietyCorresponding author:Long Yun,Department of Critical Care Medicine,Peking Union Medical CollegeHospital,Chinese Academy of Medical Sciences,Beijing 100730,China,Email:ly_icu@aliyun.comAbstract)With the development and progress of science and technology,the diagnosisand treatment of intensive care medicine has incorporated monitoring tools and treatment methods.These multi-source monitoring data have the characteristics of large-scale,multi-heterogeneous,variably dynamic,high-speed and real-time acquisition,which are relatively underutilized in currentclinical treatment.As the state of illness of critically ill patients changes rapidly,the timelyprocessing and integration of multiple data becomes crucial Therefore,intensive care big data hasemerged in recent years.In order to promote the standardized development of intensive care bigdata in China,based on the relevant literature and guidelines at home and abroad,the Intensive CareMedicine Branch of China Health Information and Health Care Big Data Society organized experts todiscuss the concept,significance and necessity of intensive care big data;clinical scientific issues ofclinical research on intensive care big data;the establishment,standards and principles of intensivecare big database;ways and methods to solve big data problems in intensive care medicine;clinicalapplication of intensive care big data.This consensus was developed for clinicians and researchersworking on big data in intensive care.Key words Intensive care;Intensive care medicine;Big dataD01:10.3760/cma.j.cm112137-20221008-02098收稿日期2022-10-08本文编辑吕相征引用本文：中国卫生信息与健康医疗大数据学会重症医学分会，北京肿瘤学会重症医学专业委员会重症大数据应用中国专家共识(2022)[中华医学杂志，2023,103(6：404-424.D01:10.3760/cmajcn112137-20221008-02098