School of Engineering and Applied Science, Aston University, Aston Triangle, Birmingham, B4 7ET, UK.
J Biomed Inform. 2010 Aug;43(4):623-31. doi: 10.1016/j.jbi.2010.03.003. Epub 2010 Mar 15.
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.
循证医学依赖于可以用于支持临床决策以改善患者护理的经验研究证据存储库。然而，从本地站点检索此类存储库中的证据存在许多挑战。本文描述了一种方法学框架，用于自动索引和检索来自 Cochrane 图书馆的系统评价和相关研究形式的经验研究证据，其中检索到的文档特定于患者-医生的就诊情况，因此可用于支持在护理点进行基于证据的决策。这种就诊情况由三个相关的概念组定义 - 诊断、治疗和患者，该框架依赖于这三个组来指导对评价和相关研究的索引和检索。使用与儿科哮喘领域相关的文档对所提出框架的索引和检索组件进行了评估。系统评价和相关研究自动索引的准确率和召回率分别为 0.93 和 0.87，以及 0.81 和 0.56。此外，检索相关系统评价和相关研究的准确率和召回率分别为 0.89 和 0.81，以及 0.92 和 0.89。通过微小的修改，所提出的方法学框架可以针对其他证据存储库进行定制。
