Chinese experts' consensus on the application of intensive care big data.

中国专家对重症监护大数据应用的共识。

• 影响指数: 5.058
• 发表时间: 2023
• 来源期刊: Front Med (Lausanne)
• DOI: 10.3389/fmed.2023.1174429
• PMID: 38264049
• 文章类型: Journal Article
• 作者列表: Su L,Liu S,Long Y,Chen C,Chen K,Chen M,Chen Y,Cheng Y,Cui Y,Ding Q,Ding R,Duan M,Gao T,Gu X,He H,He J,Hu B,Hu C,Huang R,Huang X,Jiang H,Jiang J,Lan Y,Li J,Li L,Li L,Li W,Li Y,Lin J,Luo X,Lyu F,Mao Z,Miao H,Shang X,Shang X,Shang Y,Shen Y,Shi Y,Sun Q,Sun W,Tang Z,Wang B,Wang H,Wang H,Wang L,Wang L,Wang S,Wang Z,Wang Z,Wei D,Wu J,Wu Q,Xing X,Yang J,Yang X,Yu J,Yu W,Yu Y,Yuan H,Zhai Q,Zhang H,Zhang L,Zhang M,Zhang Z,Zhao C,Zheng R,Zhong L,Zhou F,Zhu W

关键词: big data; consensus; critical care medicine; intensive care medicine; machine learning

Abstract

The development of intensive care medicine is inseparable from the diversified monitoring data. Intensive care medicine has been closely integrated with data since its birth. Critical care research requires an integrative approach that embraces the complexity of critical illness and the computational technology and algorithms that can make it possible. Considering the need of standardization of application of big data in intensive care, Intensive Care Medicine Branch of China Health Information and Health Care Big Data Society, Standard Committee has convened expert group, secretary group and the external audit expert group to formulate Chinese Experts\' Consensus on the Application of Intensive Care Big Data (2022). This consensus makes 29 recommendations on the following five parts: Concept of intensive care big data, Important scientific issues, Standards and principles of database, Methodology in solving big data problems, Clinical application and safety consideration of intensive care big data. The consensus group believes this consensus is the starting step of application big data in the field of intensive care. More explorations and big data based retrospective research should be carried out in order to enhance safety and reliability of big data based models of critical care field.

摘要

重症医学的发展离不开多元化的监测数据。重症监护医学自诞生以来就与数据紧密结合。重症监护研究需要一种综合方法，包括重症疾病的复杂性以及可以使其成为可能的计算技术和算法。考虑到大数据在重症监护中应用标准化的需要，中国卫生信息与健康医疗大数据学会重症医学分会,标准委员会已召集专家组，秘书小组和外部审计专家组制定《中国专家关于重症监护大数据应用的共识》（2022年）。这一共识在以下五个部分提出了29条建议：重症监护大数据的概念，重要的科学问题,数据库的标准和原则，解决大数据问题的方法论，重症监护大数据的临床应用及安全性考量[J].共识小组认为，这一共识是大数据在重症监护领域应用的第一步。应进行更多的探索和基于大数据的回顾性研究，以提高重症监护领域基于大数据的模型的安全性和可靠性。