Architecture for knowledge-based and federated search of online clinical evidence.

Architecture for knowledge-based and federated search of online clinical evidence.
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DOI:
10.2196/jmir.7.5.e52
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发表时间:
2005-10-24
影响因子:
7.4
通讯作者:
Lovell NH
Lovell NH
中科院分区:
医学2区
文献类型:
--
作者:
Coiera E;Walther M;Nguyen K;Lovell NH

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临床医生越来越难以跟上快速增长的生物医学文献的步伐。在线证据检索方法现在被视为支持循证健康实践的核心工具。然而,标准搜索引擎技术并非旨在管理许多不同类型的可用证据源,也不是为了处理经常在截然不同的环境中工作的各种临床群体的截然不同的信息需求。本文的目标是 (1) 描述联邦搜索系统设计的包装中介方法的设计考虑因素和系统架构,包括使用基于知识的元搜索过滤器,以及 (2) 分析系统设计选择对性能测量的影响。进行了一项试验来评估联合证据检索系统的技术性能,该系统提供对八种不同在线资源的访问,包括电子期刊、PubMed 和电子指南。 Quick Clinical 系统架构利用通用查询语言在内部重新制定查询,并利用元搜索过滤器来优化跨资源的搜索策略。我们从澳大利亚各地招募了 227 名家庭医生,他们在 4 周内使用该系统在常规临床环境中检索证据。记录查询的总搜索时间以及发送到不同在线资源的各个查询的持续时间。临床医生在试验期间进行了 1662 次搜索。平均搜索持续时间为 4.9 ± 3.2 秒(N = 1662 次搜索)。对各个源的平均搜索持续时间在 0.05 秒到 4.55 秒之间。平均系统时间(即系统开销)为0.12 秒。与执行单个源搜索所需的平均时间相比,系统开销相对较小,这表明系统在性能和可靠性之间实现了良好的权衡。此外,尽管需要付出额外的努力来整合每个单独源的功能(以提高搜索结果的质量),但系统维护只需要很少的额外开销。
It is increasingly difficult for clinicians to keep up-to-date with the rapidly growing biomedical literature. Online evidence retrieval methods are now seen as a core tool to support evidence-based health practice. However, standard search engine technology is not designed to manage the many different types of evidence sources that are available or to handle the very different information needs of various clinical groups, who often work in widely different settings. The objectives of this paper are (1) to describe the design considerations and system architecture of a wrapper-mediator approach to federate search system design, including the use of knowledge-based, meta-search filters, and (2) to analyze the implications of system design choices on performance measurements. A trial was performed to evaluate the technical performance of a federated evidence retrieval system, which provided access to eight distinct online resources, including e-journals, PubMed, and electronic guidelines. The Quick Clinical system architecture utilized a universal query language to reformulate queries internally and utilized meta-search filters to optimize search strategies across resources. We recruited 227 family physicians from across Australia who used the system to retrieve evidence in a routine clinical setting over a 4-week period. The total search time for a query was recorded, along with the duration of individual queries sent to different online resources. Clinicians performed 1662 searches over the trial. The average search duration was 4.9 ± 3.2 s (N = 1662 searches). Mean search duration to the individual sources was between 0.05 s and 4.55 s. Average system time (ie, system overhead) was 0.12 s. The relatively small system overhead compared to the average time it takes to perform a search for an individual source shows that the system achieves a good trade-off between performance and reliability. Furthermore, despite the additional effort required to incorporate the capabilities of each individual source (to improve the quality of search results), system maintenance requires only a small additional overhead.
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影响因子: 3.6
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影响因子: 6.4
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