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Updated: Dec 13, 2025

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
Published on: June 13, 2025
Characterizing physicians' information needs related to a gap in knowledge unmet by current evidence
Anna Ostropolets1, RuiJun Chen1, Linying Zhang1
1Department of Biomedical Informatics, Columbia University Medical Center, New York, New York, USA.
Physicians have unmet information needs due to gaps in medical evidence, particularly for complex cases. A future clinical decision support system (CDSS) could provide real-time guidance for these situations.
Area of Science:
- Medical Informatics
- Clinical Decision Support
- Evidence-Based Practice
Background:
- Current medical evidence often fails to meet clinicians' knowledge needs.
- Gaps in evidence are prevalent in complex clinical scenarios, affecting specific patient populations.
- Existing resources may not adequately address all clinical information requirements.
Purpose of the Study:
- To explore clinicians' unmet information needs stemming from evidence gaps.
- To identify potential applications and target users for a future clinical decision support system (CDSS).
- To guide the design of a CDSS for real-time clinical guidance.
Main Methods:
- Conducted interviews with 30 physicians at an academic medical center.
- Analyzed interview transcripts using deductive thematic analysis.
- Performed statistical analyses to correlate clinical experience and specialty with information needs.
Main Results:
- Identified themes of information needs arising from evidence gaps.
- Experienced and inpatient physicians reported more questions, with no decline in needs over time.
- Key information gaps included comorbidities, elderly/pediatric patients, new drugs, and rare disorders.
Conclusions:
- Medical evidence is insufficient for certain populations and complex cases.
- Experienced and inpatient physicians could benefit from a CDSS providing real-time evidence.
- Findings offer insights for designing effective CDSS to address clinical information needs.
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