Drolet Brian C, Johnson Kevin B
Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN 37232-8340, USA.
J Biomed Inform. 2008 Dec;41(6):1009-20. doi: 10.1016/j.jbi.2008.01.009. Epub 2008 Feb 5.
The term registry is widely used to refer to any database storing clinical information collected as a byproduct of patient care. Despite the use of this single characterizing term (registry), these databases exist in various forms and support functions ranging from biomedical informatics and clinical research, to public health, epidemiology and evidence-based clinical practice. This ambiguous terminology impacts the ability to locate and learn about specific types of registries; the goal of this research project was to develop a more useful categorization scheme for registries. We thoroughly analyzed peer-reviewed publications related to registries. From our findings, we created a detailed definition for registries in healthcare (medical data registries, or MDRs) and outlined a set of characteristics common to all such MDRs. This framework, MDR-OK, comprises five distinguishing features of registries, and is intended to provide a clear understanding of MDRs as a functional variety of databases, as well as to provide a framework for evaluation and categorization of registries and other data systems.
“登记处”一词被广泛用于指代任何存储作为患者护理副产品收集的临床信息的数据库。尽管使用了这个单一的特征术语(登记处),但这些数据库以各种形式存在,并支持从生物医学信息学和临床研究到公共卫生、流行病学和循证临床实践等各种功能。这种模糊的术语影响了查找和了解特定类型登记处的能力;本研究项目的目标是为登记处开发一种更有用的分类方案。我们全面分析了与登记处相关的同行评审出版物。根据我们的研究结果,我们为医疗保健领域的登记处(医学数据登记处,或MDR)创建了详细定义,并概述了所有此类MDR共有的一组特征。这个框架,即MDR-OK,包含登记处的五个显著特征,旨在提供对MDR作为一种功能性数据库变体的清晰理解,并为登记处和其他数据系统的评估和分类提供一个框架。