来自医院数据库的诱导实践指南。

K C Abston, T A Pryor, P J Haug, J L Anderson
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引用次数: 0

摘要

提高保健质量需要消除护理过程中不必要的变化。决策支持应用程序已经存在,可以促进对标准的遵守。挑战在于制定符合良好医疗做法的标准。在本文中,我们介绍了我们在确定何处捕获足够的临床数据以电子方式自动定义护理过程方面所做的努力,以及可以进行哪些分析来识别允许定义护理过程的附加数据。检查了医院信息系统例行收集的数据。使用的分析工具包括逻辑回归、神经网络、贝叶斯网络和规则归纳程序。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Inducing practice guidelines from a hospital database.

Improving health care quality requires the elimination of unnecessary variation in the care process. Decision support applications already exist that can foster adherence to standards. The challenge resides in developing standards consistent with good medical practice. In this paper we present our efforts in determining where sufficient clinical data are captured electronically to automatically define a care process, and what analyses can be done to identify additional data that would allow a care process to be defined. Data routinely collected by a hospital information system have been examined. The analysis tools utilized include logistic regression, a neural network, a Bayesian network, and a rule induction program.

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