中医药真实世界研究数据转化方法  被引量:6

Data transformation method of real world study on traditional Chinese medicine

在线阅读下载全文

作  者:王一名 代欣玥 郭曼萍 赵阳[1,2] 杨静 张颢龄[1,2] 栗蕊 李庆娜 高蕊 WANG Yiming;DAI Xinyue;GUO Manping;ZHAO Yang;YANG Jing;ZHANG Haoling;LI Rui;LI Qingna;GAO Rui(Xiyuan Hospital of CACMS,Beijing 100091,P.R China;Key Laboratory of Clinical Research and Evaluation of Traditional Chinese Medicine,Beijing 100091,P.R China;The First Affiliated Hospital of Henan University of CM,Zhengzhou 450099,P.R China)

机构地区:[1]中国中医科学院西苑医院,北京100091 [2]中药临床研究与评价重点实验室,北京100091 [3]河南中医药大学第一附属医院,郑州450099

出  处:《中国循证医学杂志》2023年第9期1081-1088,共8页Chinese Journal of Evidence-based Medicine

摘  要:中医药真实世界数据有巨大的临床价值,因其数据类型多样、标准不一、数据孤岛现象严重,导致中医药真实世界研究面临诸多挑战。真实世界数据转化为真实世界证据,数据治理是关键,数据转化作为数据治理的最后一步,其流程方法尚未形成规范。本文基于中医药真实世界数据的特征及目前数据转化技术的发展现状,探讨数据分类、自然语言处理、标准化、数据体系建设及衍生变量等数据转化关键技术方法。同时对数据转化的安全控制、质量控制等方面提出建议,并结合中医药数据特点,初步构建中医药真实世界研究数据转化体系,为中医药真实世界研究提供参考。There is huge clinical value in real world data from traditional Chinese medicine(TCM),but the real world study of TCM faces many challenges,because of its diverse data types,different standards,and serious data island phenomenon.Data governance is the key to transforming real world data into real world evidence.As the last step of data governance,data transformation has not been standardized.The key technologies and methods of data transformation,including data classification,natural language processing,standardization,data system construction,and derivative variables,will be discussed in this article based on the characteristics of real world data of TCM and the current development status of data transformation technology.At the same time,the suggestions of safety control and quality control of data transformation are put forward,and the data transformation system of real world study of TCM is preliminarily constructed,combined with the characteristics of TCM data.It is hoped that this paper can provide references for future real world studies of TCM.

关 键 词:中医药 真实世界数据 数据治理 数据转化 

分 类 号:R28[医药卫生—中药学]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象