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TrialCompass: Visual Analytics for Enhancing the Eligibility Criteria Design of Clinical Trials
IEEE Transactions on Visualization and Computer Graphics
|November 20, 2025
Summary
TrialCompass enhances clinical trial design by enabling iterative exploration of eligibility criteria using electronic health record data. This visual analytics system aids clinicians in refining criteria for better patient selection and trial outcomes.
Area of Science:
- Clinical Informatics
- Health Informatics
- Biomedical Visual Analytics
Background:
- Eligibility criteria are crucial for clinical trials, defining patient populations and influencing intervention outcomes.
- Current methods for designing eligibility criteria lack interactive exploration capabilities and fail to integrate detailed electronic health record (EHR) data.
- This limits systematic refinement and comprehension of criteria's impact on patient characteristics and outcomes.
Purpose of the Study:
- To introduce TrialCompass, a visual analytics system designed to overcome limitations in clinical trial eligibility criteria design.
- To empower clinicians with interactive, knowledge-driven, and outcome-driven approaches for exploring and refining eligibility criteria.
- To facilitate a deeper understanding of the relationship between eligibility criteria, outcome metrics, and patient characteristics.
Main Methods:
- Developed TrialCompass, a visual analytics system with a novel workflow for iterative eligibility criteria exploration.
- Integrated knowledge-driven and outcome-driven approaches for criteria refinement.
- Incorporated history-tracking to allow clinicians to trace adjustments and decisions during data exploration (eligibility criteria, outcome metrics, EHR data).
Main Results:
- Demonstrated the effectiveness of TrialCompass using a real-world dataset for septic shock and sepsis-associated acute kidney injury.
- Showcased how TrialCompass provides insights into designing effective eligibility criteria.
- Highlighted the system's ability to help clinicians comprehend the impact of criteria on outcomes and patient characteristics.
Conclusions:
- TrialCompass offers a powerful visual analytics solution for systematic and informed clinical trial eligibility criteria design.
- The system facilitates better patient selection by enabling clinicians to explore complex relationships within EHR data.
- Visual analytics holds significant promise for advancing clinical trial methodologies and improving research outcomes.
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