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A novel clinical trials search tool with iterative and geospatial capabilities
George Udeani1, Joy Alonzo1, Keith Biggers1
1Texas A&M University, United States of America.
Contemporary Clinical Trials
|March 21, 2026
Summary
The Clinical Trials Search Tool (CTST) enhances ClinicalTrials.gov data with geospatial and demographic features for equitable access to clinical trial information.
Area of Science:
- Biomedical Informatics
- Clinical Research Informatics
- Health Services Research
Background:
- ClinicalTrials.gov is a vital resource for clinical trial information.
- There is a need to improve access and equitable promotion of clinical trial data.
- Existing platforms may lack comprehensive search and geospatial capabilities.
Purpose of the Study:
- To develop a web-based Clinical Trials Search Tool (CTST).
- To enhance ClinicalTrials.gov data with advanced querying and mapping.
- To provide user-friendly geospatial, demographic, and socioeconomic features.
Main Methods:
- Developed using an Agile, iterative, feedback-driven approach.
- Front-end: Svelte, TypeScript, SvelteKit, Tailwind CSS for detailed search and rendering.
- Back-end: Java, Spring Boot, PostgreSQL for search processing and data storage via REST API.
Main Results:
- CTST offers an easy-to-use interface with advanced search options.
- Interactive geospatial map visualizes trial results with integrated demographic and socioeconomic layers.
- Results are presented in tabular summaries and detailed listings.
Conclusions:
- CTST builds upon ClinicalTrials.gov data.
- Integrates geospatial, demographic, and socioeconomic dimensions for advanced research.
- Maximizes the value of clinical trial data for clinicians and investigators.
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