Beyond the List: A Framework for the Design of Next-Generation MEDLINE Search Tools
Vladimir Zhurov (),
Kamran Sedig and
Mostafa Milani
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Vladimir Zhurov: Faculty of Science, Department of Computer Science, University of Western Ontario, Room 355, Middlesex College, London, ON N6A 5B7, Canada
Kamran Sedig: Faculty of Science, Department of Computer Science, University of Western Ontario, Room 355, Middlesex College, London, ON N6A 5B7, Canada
Mostafa Milani: Faculty of Science, Department of Computer Science, University of Western Ontario, Room 355, Middlesex College, London, ON N6A 5B7, Canada
Data, 2025, vol. 10, issue 10, 1-22
Abstract:
Despite the critical importance of biomedical databases like MEDLINE, users are often hampered by search tools with stagnant designs that fail to support complex exploratory tasks. To address this limitation, we synthesized research from visual analytics and related fields to propose a new design framework for non-traditional search interfaces. This framework was built upon seven core principle: visualization, interaction, machine learning, ontology, triaging, progressive disclosure, and evolutionary design. For each principle, we detail its rationale and demonstrate how its integration can transcend the limitations of conventional search tools. We contend that by leveraging this framework, designers can create more powerful and effective search tools that empower users to navigate complex information landscapes.
Keywords: MEDLINE; information retrieval; exploratory search; search interfaces; design framework; visual analytics; interaction design (search for similar items in EconPapers)
JEL-codes: C8 C80 C81 C82 C83 (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jdataj:v:10:y:2025:i:10:p:167-:d:1775969
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