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SyntheaWeb: A Web-Based Platform for the Generation and Interactive Inspection of Synthetic Healthcare Data.

Adnan Jouned¹, Elena Kappel¹, Maximilian Schubert¹

¹Institute of Medical Information Management, Center for Medical Data Science, Medical University of Vienna, Vienna, Austria.

Studies in Health Technology and Informatics

|July 3, 2026

Summary

SyntheaWeb offers a user-friendly web platform for generating and analyzing synthetic healthcare data, overcoming technical barriers and interpretability gaps associated with traditional command-line tools.

Keywords:

Electronic Health Records HL7 Fast Healthcare Interoperability Resources (FHIR)Healthcare Data Visualization Synthetic Healthcare Data

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Area of Science:

Health Informatics
Computational Biology
Data Science

Background:

Real-world healthcare data access is limited by privacy regulations like GDPR and HIPAA.
Synthetic healthcare data generators, such as Synthea™, are crucial for research but often have technical barriers.
Existing tools like Synthea™ use command-line interfaces and produce complex raw data formats (e.g., FHIR JSON), creating an interpretability gap.

Purpose of the Study:

To develop a web-based platform, SyntheaWeb, to simplify synthetic healthcare data generation and analysis.
To address the technical and interpretability challenges posed by existing synthetic data tools.
To enhance accessibility for clinical researchers in utilizing synthetic patient data.

Main Methods:

Developed SyntheaWeb, a web-based platform integrating synthetic patient cohort generation.
Implemented a user-friendly interface for interactive data inspection.
Incorporated features for structured longitudinal patient records and semantic terminology linking (SNOMED CT, LOINC).
Enabled selective subset export of generated synthetic data.

Main Results:

SyntheaWeb provides an accessible, web-based solution for synthetic healthcare data generation.
The platform simplifies the process, reducing technical barriers for clinical researchers.
Features include a visual cohort dashboard, structured records, and terminology linking, enhancing data interpretability.
Selective data subset export facilitates targeted research applications.

Conclusions:

SyntheaWeb effectively democratizes the use of synthetic healthcare data by providing an intuitive interface.
The platform bridges the gap between complex data generation tools and clinical research needs.
SyntheaWeb enhances the utility of synthetic data for research by improving accessibility and interpretability.