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Updated: Apr 18, 2026

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
Published on: June 13, 2025
A call for a backward design to knowledge translation
Fadi El-Jardali1, Racha Fadlallah2
1Department of Health Management and Policy, Faculty of Health Sciences, American University of Beirut, Beirut, Lebanon. ; Knowledge to Policy (K2P) Center, American University of Beirut, Beirut, Lebanon. ; Center for Systematic Reviews in Health Policy and Systems Research (SPARK), American University of Beirut, Beirut, Lebanon. ; Department of Clinical Epidemiology and Biostatistics, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada.
Abstract:
Despite several calls to support evidence-informed policy-making, variations in uptake of evidence into policy persist. This editorial brings together and builds on previous Knowledge Translation (KT) frameworks and theories to present a simple, yet, holistic approach for promoting evidence-informed policies. The proposed conceptual framework is characterized by its impact-oriented approach and its view of KT as a continuum from the evidence synthesis stage to uptake and evaluation, while highlighting capacity and resource requirement at every step. A practical example is given to guide readers through the different steps of the framework. With a growing interest in strengthening evidence-informed policy-making, there is a need to continuously develop theories to understand and improve the science of KT and its implementation within the field of policy-making.
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