Automatic indexing and retrieval of encounter-specific evidence for point-of-care support

搜索引擎索引 情报检索 计算机科学 系统回顾 精确性和召回率 梅德林 点(几何) 召回 循证医学 临床决策支持系统 经验证据 实证研究 决策支持系统 数据挖掘 心理学 哲学 几何学 数学 认识论 政治学 法学 认知心理学
作者
Dympna O’Sullivan,Szymon Wilk,Wojtek Michalowski,Ken Farion
出处
期刊:Journal of Biomedical Informatics [Elsevier BV]
卷期号:43 (4): 623-631 被引量:19
标识
DOI:10.1016/j.jbi.2010.03.003
摘要

Evidence-based medicine relies on repositories of empirical research evidence that can be used to support clinical decision making for improved patient care. However, retrieving evidence from such repositories at local sites presents many challenges. This paper describes a methodological framework for automatically indexing and retrieving empirical research evidence in the form of the systematic reviews and associated studies from The Cochrane Library, where retrieved documents are specific to a patient–physician encounter and thus can be used to support evidence-based decision making at the point of care. Such an encounter is defined by three pertinent groups of concepts – diagnosis, treatment, and patient, and the framework relies on these three groups to steer indexing and retrieval of reviews and associated studies. An evaluation of the indexing and retrieval components of the proposed framework was performed using documents relevant for the pediatric asthma domain. Precision and recall values for automatic indexing of systematic reviews and associated studies were 0.93 and 0.87, and 0.81 and 0.56, respectively. Moreover, precision and recall for the retrieval of relevant systematic reviews and associated studies were 0.89 and 0.81, and 0.92 and 0.89, respectively. With minor modifications, the proposed methodological framework can be customized for other evidence repositories.
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