Author
Listed:
- 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
Faculty of Information and Media Studies, University of Western Ontario, FIMS & Nursing Building, Room 2050, London, ON N6A 5B9, Canada)
- Mostafa Milani
(Faculty of Science, Department of Computer Science, University of Western Ontario, Room 355, Middlesex College, London, ON N6A 5B7, Canada)
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.
Suggested Citation
Vladimir Zhurov & Kamran Sedig & Mostafa Milani, 2025.
"Beyond the List: A Framework for the Design of Next-Generation MEDLINE Search Tools,"
Data, MDPI, vol. 10(10), pages 1-22, October.
Handle:
RePEc:gam:jdataj:v:10:y:2025:i:10:p:167-:d:1775969
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