DermaDashboard: Bridging the Gap Between FHIR Standards and Clinical Usability.

Area of Science:

• Health Informatics
• Oncology Data Analytics
• Clinical Data Standardization

Background:

• Fast Healthcare Interoperability Resources (FHIR) are crucial for health data standardization.
• The complexity of FHIR hinders efficient cohort analytics, especially for non-technical users.
• Oncology research requires accessible tools for exploratory data analysis and visualization.

Purpose of the Study:

• To develop an interactive dashboard, DermaDashboard, for exploratory cohort building and data visualization in oncology.
• To enable non-technical users, such as clinicians, to analyze complex FHIR data.
• To demonstrate a feasible architecture for democratizing access to structured healthcare data.

Main Methods:

• Developed DermaDashboard using a relational FHIR-compliant PostgreSQL database.
• Preaggregated oncology data using a materialized view for efficient analysis.
• Implemented a visualization layer with an open-source tool for user-friendly data filtering and analysis.
• Mapped 54 attributes from core FHIR resources (Patient, DiagnosticReport, QuestionnaireResponse) for 3949 melanoma patients.

Main Results:

• The dashboard allows filtering across 29 variables to construct subcohorts and perform aggregation analyses.
• Enabled clinicians to analyze FHIR data without needing FHIR or SQL expertise.
• Successfully integrated 82,783 health records from 3949 melanoma patients.

Conclusions:

• DermaDashboard provides a user-friendly interface for oncology cohort analysis using FHIR data.
• Open interoperability standards like FHIR can power modular, accessible clinical dashboards.
• This architecture offers a practical approach to democratizing structured healthcare data access for research and clinical insights.