Herrmann F R, Safran C
Center for Clinical Computing, Beth Israel Hospital, Harvard Medical School, Boston, MA 02115.
Proc Annu Symp Comput Appl Med Care. 1991:583-7.
Routinely collected clinical data are a valuable source of information for clinical epidemiology, health services research, and outcomes research. To explore, graph, and analyze such a large amount of material easily, one needs three kind of tools: a database management system, graphic displays, and statistical software. Although commercial software packages with these three functions do exist, it may be difficult to find one that fulfills the multiple requirements of a large hospital, allowing researchers to use the hospital information system to study various hypotheses. To address this issue we have integrated new exploratory modules with ClinQuery, a user-friendly computer program for online searching of clinical data. In this paper we describe some of the newly implemented graphics and statistical functions, along with practical examples of the way they may be used.
常规收集的临床数据是临床流行病学、卫生服务研究和结果研究的宝贵信息来源。为了轻松地探索、绘制图表和分析如此大量的资料，需要三种工具：数据库管理系统、图形显示和统计软件。虽然确实存在具备这三种功能的商业软件包，但可能很难找到一个能满足大型医院多种需求的软件包，使研究人员能够利用医院信息系统来研究各种假设。为了解决这个问题，我们将新的探索性模块与ClinQuery集成在一起，ClinQuery是一个便于用户在线搜索临床数据的计算机程序。在本文中，我们描述了一些新实现的图形和统计功能，以及它们可能的使用方式的实际示例。
