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为信息检索目的识别护理医嘱中的逻辑临床上下文聚类。

Identifying logical clinical context clusters in nursing orders for the purpose of information retrieval.

作者信息

Collins Sarah, Bakken Suzanne, Cimino James J, Currie Leanne M

机构信息

Columbia University School of Nursing, New York, NY, USA.

出版信息

AMIA Annu Symp Proc. 2008 Nov 6;2008:131-5.

Abstract

Nurses information needs relate to nursing orders and nursing orders have many contexts including body systems, safety practices and other clinical categories. When searching for information related to orders one search term might retrieve documents related to multiple orders. We clustered nursing orders into sets that are related by the same logical clinical context. We then generated clusters and their search terms from a data set of 636 orders obtained from a CIS/CPOE system at an academic medical center. We refined those cluster search terms by searching an electronic nursing procedure manual to retrieve resources that could answer one of six generic nursing questions. Sixty-three cluster search terms were identified. The search terms for 100 (16%) of the orders were validated in a second hospitals electronic nursing procedure manual; precision was 32.5%.. Our process of identifying cluster search terms may be a useful method to obtain clinically relevant information resources.

摘要

护士的信息需求与护理医嘱相关,而护理医嘱有许多背景,包括身体系统、安全措施及其他临床类别。在搜索与医嘱相关的信息时,一个搜索词可能检索到与多个医嘱相关的文档。我们将护理医嘱聚类为基于相同逻辑临床背景相关的集合。然后,我们从一所学术医疗中心的临床信息系统/计算机化医师医嘱录入(CIS/CPOE)系统获取的636条医嘱数据集中生成聚类及其搜索词。我们通过搜索电子护理程序手册来完善这些聚类搜索词,以检索能够回答六个通用护理问题之一的资源。共识别出63个聚类搜索词。其中100条(16%)医嘱的搜索词在另一家医院的电子护理程序手册中得到验证;精确率为32.5%。我们识别聚类搜索词的过程可能是获取临床相关信息资源的一种有用方法。

本文引用的文献

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