Beyond the List: A Framework for the Design of Next-Generation MEDLINE Search Tools
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.
Authors
- Kamran Sedig (ORCID: https://orcid.org/0000-0002-6970-5469)
- Mostafa Milani (ORCID: https://orcid.org/0000-0002-3386-7079)
- Vladimir Zhurov (ORCID: https://orcid.org/0009-0001-2455-8610)
Institutions
- Western University (CA)
Publication Details
- Journal
- Data
- Published
- 2025-10-21
- DOI
- https://doi.org/10.3390/data10100167
- Primary Topic
- Semantic Web and Ontologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00