Zhonghua Yi Xue Za Zhi. 2023 Feb 14;103(6):404-424. doi: 10.3760/cma.j.cn112137-20221008-02098.
With the development and progress of science and technology, the diagnosis and 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 current clinical treatment. As the state of illness of critically ill patients changes rapidly, the timely processing and integration of multiple data becomes crucial. Therefore, intensive care big data has emerged in recent years. In order to promote the standardized development of intensive care big data in China, based on the relevant literature and guidelines at home and abroad, the Intensive Care Medicine Branch of China Health Information and Health Care Big Data Society organized experts to discuss the concept, significance and necessity of intensive care big data; clinical scientific issues of clinical research on intensive care big data; the establishment, standards and principles of intensive care big database; ways and methods to solve big data problems in intensive care medicine; clinical application of intensive care big data. This consensus was developed for clinicians and researchers working on big data in intensive care.
随着科学技术的发展与进步,重症医学的诊断和治疗纳入了监测工具和治疗方法。这些多源监测数据具有大规模、多异构、动态变化、高速实时采集的特点,在当前临床治疗中利用程度相对较低。由于重症患者的病情变化迅速,对多数据的及时处理与整合变得至关重要。因此,重症监护大数据近年来应运而生。为推动我国重症监护大数据的规范发展,中国卫生信息与健康医疗大数据学会重症医学分会基于国内外相关文献和指南,组织专家讨论了重症监护大数据的概念、意义和必要性;重症监护大数据临床研究的临床科学问题;重症监护大数据库的建立、标准和原则;解决重症医学大数据问题的途径和方法;重症监护大数据的临床应用。本共识是为从事重症监护大数据工作的临床医生和研究人员制定的。