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Online Information Review
ISSN: 1468-4527
Online from: 1977
Subject Area: Library and Information Studies
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Search strategies on a new health information retrieval system
| Title: | Search strategies on a new health information retrieval system |
|---|---|
| Author(s): | Xiangming Mu, (University of Wisconsin-Milwaukee, Milwaukee, Wisconsin, USA), Kun Lu, (University of Wisconsin-Milwaukee, Milwaukee, Wisconsin, USA), Hohyon Ryu, (University of Wisconsin-Milwaukee, Milwaukee, Wisconsin, USA, and Yonsei University, Seoul, South Korea University of Wisconsin-Milwaukee, Milwaukee, Wisconsin, USA, and Yonsei University, Seoul, South Korea) |
| Citation: | Xiangming Mu, Kun Lu, Hohyon Ryu, (2010) "Search strategies on a new health information retrieval system", Online Information Review, Vol. 34 Iss: 3, pp.440 - 456 |
| Keywords: | Hospitals, Information retrieval, Information systems, Knowledge management |
| Article type: | Research paper |
| DOI: | 10.1108/14684521011054062 (Permanent URL) |
| Publisher: | Emerald Group Publishing Limited |
| Abstract: | Purpose – The goals of this study are: to evaluate the merits of a newly developed health information retrieval system; to investigate users' search strategies when using the new search system; and to study the relationships between users' search strategies and their prior topic knowledge. Design/methodology/approach – The paper developed a new health information retrieval system called MeshMed. A term browser and a tree browser are included in the new system in addition to the traditional search box. The term browser allows a user to search Medical Subject Heading (MeSH) terms using natural language. The tree browser presents a hierarchical tree structure of related MeSH terms. A user study with 30 participants was conducted to evaluate the benefits of MeshMed. Findings – The paper found that MeshMed provides a user with more choices to select an appropriate searching component and form more effective search strategies. Based on the time a participant spent using different MeshMed components, the paper identified three different search styles: the traditional style, the novel style, and the balanced style, which falls in between. MeshMed was particularly helpful for users with low topic knowledge. Originality/value – A new health information retrieval system (MeshMed) was designed and developed (and is currently available at http://129.89.43.129/meshmed). This is the first study to explore users' search strategies on such a system. The study results can inform the design of future clinical-oriented health information retrieval systems. |
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