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Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
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Narrative evidence and evidence-based medicine
1University of Toronto, Toronto, Canada. cheryl.misak@utoronto.ca
Journal of Evaluation in Clinical Practice
|April 7, 2010
Summary
Evidence-based medicine (EBM) has methodological limits. Including qualitative data, like narratives, alongside quantitative data can enhance medical objectivity and practice.
Area of Science:
- Medical Research Methodology
- Philosophy of Medicine
Background:
- Evidence-based medicine (EBM) aims to minimize subjectivity in medical practice.
- Current EBM predominantly relies on quantitative data, potentially overlooking valuable qualitative evidence.
Purpose of the Study:
- To critique the methodological constraints of current Evidence-based medicine (EBM).
- To advocate for broadening the scope of evidence within EBM.
- To propose the inclusion of qualitative data, specifically narratives, to enhance medical objectivity.
Main Methods:
- Philosophical argument and critique of existing EBM principles.
- Analysis of the role of judgment in evidence interpretation.
- Proposal for integrating qualitative evidence alongside quantitative data.
Main Results:
- Current EBM's exclusion of certain evidence types imposes limitations on medical practice and study.
- The interpretation of any evidence, including quantitative, inherently involves subjective judgment.
- Incorporating narrative evidence can enrich the evidence base for medical decision-making.
Conclusions:
- Objectivity in medicine is achieved through critical appraisal of all evidence, not exclusion.
- Broadening EBM to include qualitative data like narratives can improve medical practice.
- A more inclusive approach to evidence is necessary for robust medical objectivity.
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