摘要
肝病与肝癌是威胁我国人民生命健康的常见疾病,大数据和人工智能已成为提高临床诊断与治疗水平和服务能力的重要支撑。然而,大数据的发展应用尚不成熟,主要存在以下问题:(1)海量健康医疗数据种类繁多,来源各异,但较为分散,缺乏一体化数据存储与分析平台。(2)不同医疗中心之间数据标准不同,数据概念亦存在较大差异,以及个人表达习惯等问题,均导致数据难以处理,无法充分融合。因此,大规模健康医疗数据并不等同于健康医疗大数据。笔者团队结合东南肝胆健康大数据研究所在肝病与肝癌领域大数据平台建设方面的实践经验,提出肝病与肝癌大数据平台建设标准化体系,包括大数据联盟统筹建设大数据平台、完善的大数据标准体系、标准化数据治理流程及结合循证医学与新兴技术的大数据应用。该体系可为健康医疗大数据产业高质量发展提供全新模型,并可推广复制到其他专病领域,为建设健康中国贡献力量。
Liver disease and liver cancer are common diseases that threaten the life and health of Chinese people.Big data and artificial intelligence have become important support to improve the level of clinical diagnosis and treatment and the ability of clinical service.However,the development and application of big data is not yet mature,and there are mainly the following problems:(1)massive health and medical data are of various types and sources,but these data are scattered among the heterogeneous platforms of various medical centers,lacking integrated data storage and analysis platforms;(2)different centers have various data standards,data concepts,personal expression habits and other problems,all of which make data difficult to process and cannot be fully integrated.Therefore,large-scale health care data is not equal to big data on health medicine.In this study,based on the practical experience in the construction of big data platform by Southeast Big Data Institute of Hepatobiliary Health,the author team proposes standardization system of construction of liver disease and liver cancer big data,which includes a big data platform planned to build by big data alliance,perfect standard system,standardized data management process,and the big data application combining evidence-based medicine and emerging technologies.This system provides a new model for the high-quality development of the healthcare big data industry,and can be promoted to other diseases,contributing to the construction of a healthy China.
作者
刘景丰
刘红枝
陈振伟
李海涛
郭鹏飞
Liu Jingfeng;Liu Hongzhi;Chen Zhenwei;Li Haitao;Guo Pengfei(Southeast Big Data Institute of Hepatobiliary Health,Mengchao Hepatobiliary Hospital of Fujian Medical University,Fuzhou 350025,China)
出处
《中华消化外科杂志》
CAS
CSCD
北大核心
2021年第1期46-51,共6页
Chinese Journal of Digestive Surgery
基金
福建省发展和改革委员会专项基金(31010308)。
关键词
肝疾病
肝肿瘤
大数据
人工智能
临床决策支持系统
Liver diseases
Liver neoplasms
Big data
Artificial intelligence
Clinical decision support system