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SLIM: an alternative Web interface for MEDLINE/PubMed searches - a preliminary study
Michael Muin1, Paul Fontelo, Fang Liu
1Office of High Performance Computing and Communications, National Library of Medicine, 8600 Rockville Pike, Bethesda, Maryland 20894, USA. mmuin@mail.nih.gov
BMC Medical Informatics and Decision Making
|December 3, 2005
Summary
Slider Interface for MEDLINE/PubMed searches (SLIM) offers a user-friendly way to search medical literature. This tool enhances user control and saves time in refining search strategies for evidence-based medicine.
Area of Science:
- Medical Informatics
- Biomedical Search Technology
Background:
- The proliferation of online medical information necessitates efficient search tools.
- Web technologies can empower non-expert users with advanced search capabilities.
- Existing systems may lack intuitive interfaces for complex medical literature searches.
Purpose of the Study:
- To develop an alternative search interface for MEDLINE/PubMed using JavaScript slider bars.
- To create SLIM (Slider Interface for MEDLINE/PubMed searches) for enhanced user interaction.
- To evaluate the usability and performance of the SLIM interface.
Main Methods:
- Developed SLIM using PHP and JavaScript with interactive slider bars for search parameters.
- Integrated with PubMed via Entrez Programming Utilities (E-Utilities).
- Implemented custom scripts to replicate Entrez's automatic term mapping and recorded page generation times.
Main Results:
- SLIM demonstrated functional stability during alpha testing.
- Average page generation times were recorded: index page (2.94 ms), previews (0.63 s), and searches (3.84 s).
- Beta testing with 18 physicians indicated a user-friendly interface, with MeSH term information and abstract display features highlighted.
Conclusions:
- SLIM serves as an interactive, time-saving tool for medical literature research.
- It enhances user control for refining and refocusing search strategies.
- Further development integrating search limits and filters could support evidence-based medicine practices.