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Updated: Jun 27, 2026

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 and limits to the literature search
1Institute for the History and Philosophy of Science and Technology (IHPST), University of Toronto, Toronto, ON, Canada. r.nunn@utoronto.ca
Rationale, Aims And Objectives:
Searching the literature, a core requirement of evidence-based medicine has been impossibly oversold. The literature search is supposed to provide evidence independent from expert opinion, which has been deemed to be low on the evidence hierarchy. Yet freedom from expertise is not free. Paradoxically, practitioners are told to search the literature to avoid authority, but because there is too much information and too little time, they are urged to rely on authoritative digests. But the chain of errors inherent in searching literature for decision making, whether in scoping the decision, finding relevant documents, or in the document content, cannot be ignored. This article explores those errors.
Method:
With examples from signal theory and decision theory, the literature search is analyzed in light of fundamental limits in the nature of informaiton. You can run from expertise but you cannot hide. Expertise is inevitably required to deal with these errors. So do-it-yourself searching is inadequate in the absence of expertise. The best decisions result from collaboration with subject matter experts and decision-making experts.
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