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Expert Search Strategies: The Information Retrieval Practices of Healthcare Information Professionals

机译:专家搜索策略:医疗保健信息专业人员的信息检索实践

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Background Healthcare information professionals play a key role in closing the knowledge gap between medical research and clinical practice. Their work involves meticulous searching of literature databases using complex search strategies that can consist of hundreds of keywords, operators, and ontology terms. This process is prone to error and can lead to inefficiency and bias if performed incorrectly. Objective The aim of this study was to investigate the search behavior of healthcare information professionals, uncovering their needs, goals, and requirements for information retrieval systems. Methods A survey was distributed to healthcare information professionals via professional association email discussion lists. It investigated the search tasks they undertake, their techniques for search strategy formulation, their approaches to evaluating search results, and their preferred functionality for searching library-style databases. The popular literature search system PubMed was then evaluated to determine the extent to which their needs were met. Results The 107 respondents indicated that their information retrieval process relied on the use of complex, repeatable, and transparent search strategies. On average it took 60 minutes to formulate a search strategy, with a search task taking 4 hours and consisting of 15 strategy lines. Respondents reviewed a median of 175 results per search task, far more than they would ideally like (100). The most desired features of a search system were merging search queries and combining search results. Conclusions Healthcare information professionals routinely address some of the most challenging information retrieval problems of any profession. However, their needs are not fully supported by current literature search systems and there is demand for improved functionality, in particular regarding the development and management of search strategies.
机译:背景技术医疗保健信息专业人员在缩小医学研究与临床实践之间的知识鸿沟方面发挥着关键作用。他们的工作涉及使用复杂的搜索策略对文献数据库进行细致的搜索,其中包括数百个关键字,运算符和本体术语。如果执行不正确,此过程容易出错,并且可能导致效率低下和偏差。目的本研究旨在调查医疗保健信息专业人员的搜索行为,以了解他们对信息检索系统的需求,目标和要求。方法通过专业协会电子邮件讨论列表向医疗保健信息专业人员分发调查问卷。它调查了他们承担的搜索任务,搜索策略制定技术,评估搜索结果的方法以及用于搜索库式数据库的首选功能。然后评估了流行文献搜索系统PubMed,以确定满足其需求的程度。结果107名受访者表示,他们的信息检索过程依赖于复杂,可重复和透明的搜索策略的使​​用。制定搜索策略平均需要60分钟,搜索任务需要4个小时,包含15条策略行。受访者对每个搜索任务的平均评价为175个结果,远远超过他们的理想水平(100)。搜索系统最需要的功能是合并搜索查询并组合搜索结果。结论医疗保健信息专业人员通常会解决任何专业中一些最具挑战性的信息检索问题。但是,当前的文献搜索系统尚未完全满足其需求,并且需要改进的功能,尤其是在搜索策略的开发和管理方面。

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