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Updated: Jul 17, 2026

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
Published on: June 13, 2025
Using Web 2.0 technologies to develop a resource for evidence based medicine
Ashish Atreja1, B Messinger-Rapport, Anil Jain
1The Cleveland Clinic Foundation, Cleveland, OH, USA.
Health care professionals face information overload. An online evidence-based information portal offers a solution for filtering and sharing relevant research, improving knowledge management in biomedicine.
Area of Science:
- Biomedical Informatics
- Health Sciences
- Knowledge Management
Background:
- Healthcare professionals experience significant information overload.
- Difficulty in filtering evidence relevant to specific medical fields is a major challenge.
- Existing systems lack efficient methods for critiquing and sharing evidence-based articles.
Purpose of the Study:
- To propose a solution for filtering and delivering tailored information to researchers and practitioners.
- To create a platform for efficient critique and sharing of evidence-based articles.
- To present a model for knowledge delivery, sharing, management, and archiving applicable to any biomedical domain.
Main Methods:
- Development of an "online evidence-based information portal" as a conceptual model.
- Focus on facilitating information filtering and tailored delivery.
- Incorporation of features for evidence critique and sharing.
Main Results:
- The proposed portal serves as a model for effective knowledge delivery.
- It addresses the need for efficient filtering and tailored information dissemination.
- The model supports knowledge management and archiving within biomedical domains.
Conclusions:
- An online evidence-based information portal can mitigate information overload for healthcare professionals.
- This model facilitates efficient access to and utilization of relevant research.
- The portal offers a scalable solution for knowledge management across various biomedical fields.
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