摘要
临床数据的整理作为临床科研活动的重要组成部分,在转化医学基础研究的工作中起着至关重要的作用。高质量的临床数据是医学试验结果真实可信的有力保障。当前被广泛应用的传统的临床数据整理方法存在着以下几个弊端:信息多元异构,缺乏规范化数据;人工操作耗时长,效率低,错误多,质量评估难;数据清理任务复杂,处理难;人工设计实验表单,无法满足数据再利用的需求等。通过阐述临床数据整理工作的现状和问题,总结了对临床数据整理工作的基本需求,提出了相应的数据整理操作流程设计方案,试图为更加迅速、高效、便捷地获取高质量临床试验数据的技术方法提供思路,进而为转化医学基础研究提供数据支持。
As an important part of clinical scientific research activities,the clinical data arrangement plays an important role in the basic research work of translational medicine.The high-quality clinical data is a powerful guarantee for the authenticity of medical test results.At present,the traditional clinical data arrangement method widely used has the following disadvantages.The information is diverse and heterogeneous,there is a lack of standardized data;the manual operation is time-consuming and low-efficiency and has many errors,it is difficult to evaluate the quality;the data cleaning task is complex and difficult;the manually designed experimental forms cannot meet the needs of data reuse,etc.By introducing the current situation and problems of clinical data arrangement work,this paper summarizes the basic needs of clinical data arrangement work,proposes the corresponding operation flow design scheme of data arrangement,and tries to provide ideas for the technical method for more rapid,efficient and convenient access to high-quality clinical trial data,thus providing data support for the basic research of transformational medicine.
作者
张弛
ZHANG Chi(Biomedical Information Center,Beijing You'an Hospital,Capital Medical University,Beijing Key Laboratory of Biomarkers for Infection-related Diseases,Beijing 100069,P.R.C.)
出处
《中国数字医学》
2020年第6期35-38,共4页
China Digital Medicine
关键词
数据整理
结构化数据
数据质量评估
数据清洗
临床数据
data arrangement
structured data
data quality assessment
data cleaning
clinical data