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Updated: May 21, 2026

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
Published on: June 13, 2025
Clinical expertise and the limits of explicit knowledge
1Department of Psychiatry, University of Illinois at Chicago, and Mental Health Research, Jesse Brown Veteran Affairs Medical Center, Chicago, 60612, USA. daniel.luchins@va.gov
This study argues that effective medical decision-making relies on clinical expertise and experience, not just explicit rules. Implicit knowledge gained through practice is crucial for patient care.
Area of Science:
- Medical decision-making
- Clinical expertise
- Implicit knowledge
Background:
- The prevailing view suggests medical decision-making can be standardized through explicit rules for improved outcomes.
- This perspective overlooks the nuanced nature of clinical practice and patient variability.
Purpose of the Study:
- To challenge the reductionist view of medical decision-making based solely on explicit rules.
- To re-emphasize the importance of clinical expertise and experience in medical practice.
Main Methods:
- Literature review and synthesis of research on clinical decision-making.
- Analysis of studies on heuristic decision-making in medicine.
- Philosophical argument for the role of implicit knowledge in expertise.
Main Results:
- Explicit rules are insufficient for optimal medical decision-making.
- Clinical expertise, developed through experience, incorporates implicit knowledge vital for individual patient care.
- Heuristic decision-making by clinicians can be as effective as statistical methods in certain contexts.
Conclusions:
- Medical decision-making is an expert skill, not merely rule adherence.
- Implicit knowledge and clinical experience are indispensable for effective healthcare.
- Future research should explore the integration of expertise with evidence-based guidelines.
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