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Updated: Apr 5, 2026

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
Published on: June 13, 2025
Synthesizing Marketing, Community Engagement, and Systems Science Approaches for Advancing Translational Research
Shawn M Kneipp1, Jennifer Leeman, Pamela McCall
1The University of North Carolina at Chapel Hill School of Nursing (Drs Kneipp, Leeman, and Schwartz); Orange County Health Department, Hillsborough, North Carolina (Ms McCall); Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, (Drs Hassmiller-Lich and Schwartz); Research Triangle Institute (RTI) International, Cary, North Carolina (Dr Bobashev and Messrs Riggan and Gil); and Orange County Department of Social Services, Hillsborough, North Carolina (Mr Gilmore).
Abstract:
The adoption and implementation of evidence-based interventions (EBIs) are the goals of translational research; however, potential end-users' perceptions of an EBI value have contributed to low rates of adoption. In this article, we describe our application of emerging dissemination and implementation science theoretical perspectives, community engagement, and systems science principles to develop a novel EBI dissemination approach. Using consumer-driven, graphics-rich simulation, the approach demonstrates predicted implementation effects on health and employment outcomes for socioeconomically disadvantaged women at the local level and is designed to increase adoption interest of county program managers accountable for improving these outcomes in their communities.
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