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嘉和专栏

专题策划——数据资源的管理与利用
Special Planning

基于人工智能技术的临床数据资源中心建设实践

陈联忠 计虹 胡可云 张晨 王飞 席韩旭 赵士洁

【摘要】目的：在医院数据中心基础上，进一步融合院外及公开多源异构数据，并通过标准化数据建模和数据
治理，构建高质量临床数据资源中心，以支持医院开展高质量临床研究，并将研究成果反哺临床，提升研究成
果转化能力，实现从数据到科研到临床的一体化发展闭环。方法：利用大数据及人工智能技术，设计多层次、
多维度的数据模型，将原始数据转化为标准化的，可满足科研、临床等不同场景需求的多模态数据集合。结
果：临床数据资源中心已入库治理5 000余万诊次临床诊疗数据、1 000多万条随访数据，整合45个既往与在研
课题研究数据，18个气象、文献及基因等公开数据；形成614个数据模型和10 479个研究可用字段；支持CDSS
等数据服务调用频率高达162万次/天；支撑521位科研人员和团队建立了1 532个研究人群和专病库，已有62个
研究模型成果转化反哺临床。结论：通过建设高质量临床数据资源中心，可高效满足临床研究团队对相关数据
的使用需求，且随用、随查、随取、随分析，降低了数据使用门槛，提升了研究效率。
【关键词】临床数据资源中心；多源异构数据；人工智能技术；临床数据模型
Doi:10.3969/j.issn.1673-7571.2023.01.006
【中图分类号】 R319

Construction of a clinical data resource center based on AI technology
CHEN Lianzhong, JI Hong, HU Keyun, ZHANG Chen, WANG Fei, XI Hanxu, ZHAO Shijie. Goodwill Hessian Health
Technology Co., Ltd., Beijing 100085, China (CHEN Lianzhong, HU Keyun, WANG Fei, ZHAO Shijie); Information
Management and Big Data Center, Peking University Third Hospital (JI Hong, ZHANG Chen, XI Hanxu)
Corresponding author: JI Hong, Email: ji_hong@126.com
【Abstract】Objective To further integrate out-of-hospital and open multi-source heterogeneous data on the basis of
the hospital data center, and to build a high-quality clinical data resource center through standardized data modeling and
data governance, so as to support the hospital to carry out high-quality clinical research, feed the research results back
to the clinic, improve the ability to apply the research results, and achieve an integrated development closed-loop from
data to scientific research to clinical. Methods A multi-level and multi-dimensional data model was designed using big
data and AI technology, and the original data was converted into a standardized multi-modal data set that could meet
the requirements of different scenarios such as scientific research and clinical. Results The clinical data resource center
has stored more than 50 million clinical treatment data and more than 10 million follow-up data; integrated 45 previous
and ongoing research data, and 18 public meteorological, literature, and genetic data, etc.; formed 614 data models and
10,479 research fields available; supported CDSS and other data services with a call frequency of 1.62 million times/
day. The center also supported 521 researchers and teams to establish 1,532 research populations and special disease
banks, and 62 research models have been translated into clinical results. Conclusion The construction of the high-
quality clinical data resource center can effectively meet the needs of the clinical research team for the use of relevant
data, and it can be used, checked, retrieved, and analyzed at any time, lowering the threshold of data use and improving
research efficiency.

作者单位：100085 北京，北京嘉和海森健康科技有限公司（陈联忠、胡可云、王飞、赵士洁）；北京大学第三医院信息管理与大数据中
心（计虹、张晨、席韩旭）
通信作者：计虹，Email：ji_hong@126.com

28 China Digital Medicine. 2023,Vol.18,No. 1