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Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
Published on: June 13, 2025
[Evidence-Based Knowledge Translation: From Scientific Evidence to Clinical Nursing Practice]
Kee-Hsin Chen1, Ching-Chiu Kao2, Chiehfeng Chen3
1PhD, RN, Deputy Director, Department of Nursing, and Director, Evidence-Based Knowledge Translation Center, Wan Fang Hospital, Taipei Medical University, and Adjunct Lecturer, School of Nursing, Taipei Medical University; and Researcher, Cochrane Taiwan, Taiwan, ROC.
Abstract:
In 1992, Gordon Guyatt coined the term "evidence-based medicine", which has since attracted worldwide attention. In 2007, the Institute of Medicine's Roundtable on Evidence-Based Medicine set the goal that 90% of clinical decisions would be supported by accurate, timely, and up-to-date clinical information and would reflect the best available evidence by 2020. However, the chasm between knowing and doing remains palpable. In 2000, the Canadian Institute of Health Research applied the term "knowledge translation" to describe the bridge that is necessary to cross the gap between research knowledge and clinical practice. The present paper outlines the conceptual framework, barriers, and promotion strategies for evidence-based knowledge translation and shares clinical experience related to overcoming the seven layers of leakage (aware, accepted, applicable, able, acted on, agreed, and adhered to). We hope that this paper can enhance the public well-being and strengthen the future health care system.
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