Abstract： 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.