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Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
Published on: June 13, 2025
Evidence-based Medicine Search: a customizable federated search engine
Paul J Bracke1, David K Howse, Samuel M Keim
1Purdue University Libraries, 504 West State Street, West Lafayette, IN 47907-2058, USA. pbracke@purdue.edu
Journal of the Medical Library Association : JMLA
|April 2, 2008
Summary
Arizona Health Sciences Library developed a customizable clinical evidence search tool. This Evidence-based Medicine (EBM) Search aids in accessing resources and teaching evidence-based decision-making.
Area of Science:
- Medical Informatics
- Health Sciences Librarianship
Background:
- The Arizona Health Sciences Library (AHSL) supports health sciences programs at the University of Arizona and the University Medical Center.
- Access to clinical evidence is crucial for evidence-based practice.
Purpose of the Study:
- To report the development of a novel search tool, Evidence-based Medicine (EBM) Search, by AHSL.
- To create a tool that can be customized for various user groups and specialties within an academic health sciences center.
Main Methods:
- Collaboration between AHSL librarians and University of Arizona College of Medicine faculty.
- Development of a web-based configuration component for customization.
- Implementation of a simple search interface presenting results organized by an evidence pyramid.
Main Results:
- Informal feedback suggests EBM Search is a useful tool for physicians.
- The tool shows potential for teaching evidence-based decision-making.
- The customizable nature may reduce barriers to information access.
Conclusions:
- EBM Search is an innovative tool for accessing clinical evidence.
- Customization capabilities enhance its utility for specific user populations.
- The tool has the potential to improve information resource accessibility in academic health sciences settings.
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