Related Experiment Video
Updated: May 29, 2026

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
Published on: June 13, 2025
A framework for evaluating evidence in evidence-based design
1Center for Advanced Design Research & Evaluation, Dallas, TX, USA. dpati@hksinc.com
Abstract:
A major challenge in the evidence-based design (EBD) practice model has been in determining the degree of credibility of specific (or a body of) evidence. This challenge has remained one of the key impediments to the broader adoption of EBD. Borrowing from evidence-based medicine and evidence-based practice literatures, this paper proposes a framework for evaluating evidence in EBD. Key to the proposed framework is the separation of the evaluation of strength and quality of evidence from the evaluation of appropriateness and feasibility in a specific application context.
Related Concept Videos
Study Designs in Epidemiology
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and case-control studies.
Bioequivalence Experimental Study Designs: Repeated Measures, Cross-Over, Carry-Over, and Latin Square Designs
Experimental Designs
Introduction to Epidemiology
Criteria for Causality: Bradford Hill Criteria - II
Bioequivalence Experimental Study Designs: Completely Randomized and Randomized Block Designs