Svensson-Ranallo Piper A, Adam Terrence J, Sainfort François
Institute for Health Informatics, University of Minnesota, Minneapolis, MN;
AMIA Jt Summits Transl Sci Proc. 2011;2011:54-8. Epub 2011 Mar 7.
The concept of the minimum dataset (MDS) is taking on an increasingly important role in healthcare. In the current environment of health information exchange and universal implementation of electronic health records, work related to the development of one specific type of MDS, the minimum clinical dataset (MCDS), is beginning to permeate the literature. While there is currently no unified definition of either an MDS or an MCDS, an MDS is generally agreed to be a coherent set of explicitly defined data elements. Despite the growing body of literature on MCDSs, very little empirical evidence exists in the literature related to best methods for developing them. The primary objective of the current study is to fill this gap. By presenting a streamlined approach to the development of MCDSs the current study attempts to provide individuals and organizations with a coherent methodology and framework for developing a high quality MCDS.
最小数据集（MDS）的概念在医疗保健领域正发挥着越来越重要的作用。在当前健康信息交换和电子健康记录普遍实施的环境下，与一种特定类型的MDS（即最小临床数据集，MCDS）开发相关的工作开始在文献中出现。虽然目前对于MDS或MCDS都没有统一的定义，但人们普遍认为MDS是一组明确界定的数据元素的连贯集合。尽管关于MCDS的文献越来越多，但文献中几乎没有与开发它们的最佳方法相关的实证证据。本研究的主要目的是填补这一空白。通过提出一种简化的MCDS开发方法，本研究试图为个人和组织提供一种开发高质量MCDS的连贯方法和框架。
