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Updated: Nov 3, 2025

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
Published on: June 13, 2025
The GRADE approach, Part 2: Evidence to decision frameworksoutlining decision-making in health
Carlos Quilodrán1, Matías Kirmayr2, Bárbara Valente3
1Escuela de Medicina, Universidad de Valparaíso, Valparaíso, Chile. ORCID: 0000-0001-9150-0323.
Abstract:
The GRADE (Grading of Recommendations Assessment, Development and Evaluation) methodology provides a framework for assessing the certainty of the evidence and making recommendations. The Evidence to Decision Framework (EtD) is a transparent and structured system for formulating health recommendations. Once the problem is identified and the certainty of the evidence is assessed, EtD provides several criteria for formulating a recommendation. These criteria include the trade-off between benefits and harms, patients values and preferences, acceptability, feasibility, resource use, and impact on equity. The resulting recommendations may differ in strength (strong or weak) and direction (for or against). The process is transparent, allowing other users to adjust the framework of recommendations by modifying the criteria to fit the desired context through an adaptation-adoption process. Given the extensive information available on EtD and the GRADE methodology in general, this narrative review seeks to explain the main concepts involved in decision-making in health by using simplified and friendly descriptions, accompanied by practical examples, thus facilitating its understanding by inexperienced readers.
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