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Updated: Jun 20, 2026

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
Published on: June 13, 2025
The expert explorer: a tool for hospital data visualization and adverse drug event rules validation
Adrian Băceanu1, Ionuţ Atasiei, Emmanuel Chazard
1Ideea Advertising, Bucharest, Romania. adrian.baceanu@ideea.biz
Expert Explorer software aids in adverse drug event (ADE) detection by validating clinical cases and assessing decision rules. This tool facilitates knowledge elicitation for improved ADE identification and patient safety.
Area of Science:
- Pharmacovigilance
- Health Informatics
- Clinical Decision Support Systems
Background:
- Accurate detection of adverse drug events (ADEs) is crucial for patient safety.
- Validation of clinical cases and assessment of decision rules are key components of ADE detection.
- Existing methods may lack comprehensive tools for expert review and knowledge elicitation.
Purpose of the Study:
- To introduce Expert Explorer, a software tool designed to aid in the detection and validation of adverse drug events (ADEs).
- To describe the functionalities of Expert Explorer in visualizing hospital data, generating ADE knowledge, and facilitating expert review of data mining-derived rules.
- To support the knowledge elicitation phase for improving ADE detection algorithms.
Main Methods:
- Development of the Expert Explorer software by Ideea Advertising.
- Extraction and anonymization of hospital datasets into a common repository.
- Implementation of features for visual display of hospital stays, dashboard design for ADE knowledge generation, and uploading/reviewing data mining-derived decision rules.
Main Results:
- Expert Explorer provides a visual and comprehensive display of hospital stays, including diagnoses, drugs, and lab results.
- The software enables the design and execution of dashboards for generating knowledge related to ADEs.
- Experts can review data mining rules and associated hospital stays, providing feedback for rule validation, invalidation, or improvement.
Conclusions:
- Expert Explorer offers a robust platform for the validation of clinical cases and assessment of decision rules in ADE detection.
- The tool supports a structured knowledge elicitation process, enhancing the accuracy and utility of ADE detection systems.
- Expert Explorer has the potential to significantly improve pharmacovigilance efforts and patient safety through better ADE identification.
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