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Updated: May 29, 2026
05:47
Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
Published on: June 13, 2025
Next steps in evaluation and evidence - from generic to context-related
Michael Rigby1, Jytte Brender, Marie-Catherine Beuscart-Zephir
1School of Public Policy and Professional Practice, Keele, University UK.
Studies in Health Technology and Informatics
|September 7, 2011
Summary
Selecting e-health systems requires scientific evidence, not just belief, to avoid adverse effects. This study reviews evaluation methods for specific e-health contexts like telemedicine and usability.
Area of Science:
- Health Informatics
- Digital Health Evaluation
Background:
- E-health systems are vital but often selected without scientific evidence.
- Adverse effects of e-health systems are not systematically evaluated.
- Generic evaluation methodologies are improving, but specialized approaches are needed.
Purpose of the Study:
- To identify requirements for specialized evaluation methods in e-health.
- To address the need for evidence-based selection and implementation of e-health systems.
Main Methods:
- A review of evaluation contexts was conducted.
- Five specific settings were examined: national e-health plans, telemedicine, Health Informatics 3.0, usability, and economics.
Main Results:
- Key requirements for developing tailored evaluation approaches were identified across the five contexts.
- The study highlights the necessity of context-specific evaluation strategies for e-health.
Conclusions:
- Developing specific evaluation methods for diverse e-health settings is crucial.
- Evidence-based approaches are needed to ensure safe and effective e-health implementation.
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