Saville J, Goodwin L, Bryars D
Duke University Medical Center, Durham, North Carolina, USA.
Stud Health Technol Inform. 1997;46:77-81.
Institution wide use of an intensive care bedside information system creates the opportunity to make available vast amounts of clinical data to support research and quality improvement activities. Acting on this opportunity has required the development of several innovative approaches to transform this raw data into usable information. The process described herein uses commercially available software and hardware tools to extract on a daily basis, process and archive data for 7 intensive care units. Once this procedure is complete, attention is turned to using individual and combinations of data elements to build a higher level of information that more directly relates to the kinds of inquiries that help to address questions of outcome, and care quality.
在全机构范围内使用重症监护床边信息系统，为获取大量临床数据以支持研究和质量改进活动创造了机会。要利用这一机会，需要开发几种创新方法，将这些原始数据转化为可用信息。本文所述过程使用商用软件和硬件工具，每天为7个重症监护病房提取、处理和存档数据。一旦这个过程完成，接下来就要关注如何使用数据元素的个体及组合来构建更高层次的信息，这些信息更直接地与有助于解决结果和护理质量问题的各类查询相关。
