Johnson S B
Yearb Med Inform. 2017 Aug;26(1):193-200. doi: 10.15265/IY-2017-022. Epub 2017 Sep 11.
The primary goal of this review is to summarize significant developments in the field of Clinical Research Informatics (CRI) over the years 2015-2016. The secondary goal is to contribute to a deeper understanding of CRI as a field, through the development of a strategy for searching and classifying CRI publications. A search strategy was developed to query the PubMed database, using medical subject headings to both select and exclude articles, and filtering publications by date and other characteristics. A manual review classified publications using stages in the "research study lifecycle", with key stages that include study definition, participant enrollment, data management, data analysis, and results dissemination. The search strategy generated 510 publications. The manual classification identified 125 publications as relevant to CRI, which were classified into seven different stages of the research lifecycle, and one additional class that pertained to multiple stages, referring to general infrastructure or standards. Important cross-cutting themes included new applications of electronic media (Internet, social media, mobile devices), standardization of data and procedures, and increased automation through the use of data mining and big data methods. The review revealed increased interest and support for CRI in large-scale projects across institutions, regionally, nationally, and internationally. A search strategy based on medical subject headings can find many relevant papers, but a large number of non-relevant papers need to be detected using text words which pertain to closely related fields such as computational statistics and clinical informatics. The research lifecycle was useful as a classification scheme by highlighting the relevance to the users of clinical research informatics solutions.
本综述的主要目标是总结2015 - 2016年期间临床研究信息学(CRI)领域的重大进展。次要目标是通过制定CRI出版物的搜索和分类策略,促进对CRI作为一个领域的更深入理解。我们制定了一种搜索策略,用于查询PubMed数据库,使用医学主题词来选择和排除文章,并按日期和其他特征对出版物进行筛选。通过人工评审,依据“研究生命周期”的各个阶段对出版物进行分类,关键阶段包括研究定义、参与者招募、数据管理、数据分析和结果传播。该搜索策略共生成510篇出版物。人工分类确定了125篇与CRI相关的出版物,这些出版物被归类到研究生命周期的七个不同阶段,以及另一个涉及多个阶段的类别,即通用基础设施或标准。重要的交叉主题包括电子媒体(互联网、社交媒体、移动设备)的新应用、数据和程序的标准化,以及通过使用数据挖掘和大数据方法提高自动化程度。该综述表明,机构间、地区、国家和国际层面的大型项目对CRI的兴趣和支持有所增加。基于医学主题词的搜索策略可以找到许多相关论文,但需要使用与计算统计学和临床信息学等密切相关领域相关的文本词来检测大量不相关的论文。研究生命周期作为一种分类方案很有用,因为它突出了与临床研究信息学解决方案用户的相关性。