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Updated: May 4, 2026
Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
Published on: June 13, 2025
Electronic health record: integrating evidence-based information at the point of clinical decision making
Susan A Fowler1, Lauren H Yaeger1, Feliciano Yu1
1fowler@wustl.edu , Medical Librarian, Bernard Becker Medical Library, Washington University in St. Louis School of Medicine, 660 South Euclid Avenue, St. Louis, MO 63110; yaegerl@wustl.edu , Medical Librarian, St. Louis Children's Medical Library, Washington University in St. Louis in Partnership with St. Louis Children's Hospital, One Children's Place, St. Louis, MO 63110; yu_f@wustl.edu , Associate Professor of Pediatrics, Pediatrics Hospitalist Medicine, Washington University in St. Louis School of Medicine, 660 South Euclid Avenue, St. Louis, MO 63110; dwight.doerhoff@bjc.org , Information Systems Coordinator, Emergency Services, St. Louis Children's Hospital, One Children's Place, St. Louis, MO 63110; paul.schoening@wustl .edu , Associate Dean and Director, Bernard Becker Medical Library, Washington University in St. Louis School of Medicine, 660 South Euclid Avenue, St. Louis, MO 63110; kellyb@wustl.edu , Associate Director, Bernard Becker Medical Library, Washington University in St. Louis School of Medicine, 660 South Euclid Avenue, St. Louis, MO 63110.
Abstract:
The authors created two tools to achieve the goals of providing physicians with a way to review alternative diagnoses and improving access to relevant evidence-based library resources without disrupting established workflows. The “diagnostic decision support tool” lifted terms from standard, coded fields in the electronic health record and sent them to Isabel, which produced a list of possible diagnoses. The physicians chose their diagnoses and were presented with the “knowledge page,” a collection of evidence-based library resources. Each resource was automatically populated with search results based on the chosen diagnosis. Physicians responded positively to the “knowledge page.”
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