FHIR Analytics Platform for Healthcare Data Visualization
FHIRBoard is an open-source application designed to streamline FHIR data analytics and visualization workflows. Bridge the gap between raw FHIR datasets and actionable insights with AI-powered ViewDefinitions and Apache Superset integration.
Simplify Healthcare Analytics Without Complex SQL Queries
Healthcare organizations struggle with complex FHIR data analysis due to deeply nested structures, lack of proper tooling, and the need for specialized SQL knowledge. Analyzing patient demographics, treatment patterns, and clinical outcomes becomes a bottleneck for data-driven decisions.
Complete Healthcare Data Analytics Platform with FHIR Support
FHIRBoard provides a complete analytics platform for FHIR data with ViewDefinitions automation, instant visualizations, and AI-powered query generation capabilities.
ViewDefinitions to SQL Automation
Automatically convert FHIR ViewDefinitions to optimized SQL queries using FlatQuack runner. Transform complex FHIR structures into flat, analyzable datasets without manual SQL coding.
Apache Superset Integration
Built-in Apache Superset integration for instant data visualizations. Create dashboards, charts, and reports from your FHIR data with professional-grade visualization tools.
Interactive Query Builder
Preview generated SQL queries, view results directly in the application, and iterate on your analytics use cases. Perfect for debugging and understanding data transformations.
DuckDB Analytics Engine
Shared DuckDB database between FHIRBoard and Superset for high-performance analytics. Export queries as reusable views for consistent reporting across tools.
AI-Powered ViewDefinitions
Generate FHIR ViewDefinitions from natural language descriptions using AI. Describe your analytics needs in plain English and get production-ready FHIR queries.
Docker-Ready Deployment
Complete containerized environment with single-command deployment. Get started with FHIR analytics in seconds with docker compose up, including sample data and predefined use cases.
Clinical Data Analytics Demo: FHIR to Actionable Insights
See how FHIRBoard transforms complex FHIR analytics workflows into simple, visual processes that anyone can use.
This demo shows how to create analytical use cases, generate ViewDefinitions, preview SQL queries, and visualize results using FHIRBoard's integrated Apache Superset environment.
Accelerate FHIR data analytics across healthcare
EHR Analytics for Hospital Data Teams
Enable clinical data analysts to explore patient demographics, treatment patterns, and outcomes without requiring deep FHIR or SQL expertise. Create dashboards for diabetes monitoring, immunization tracking, and population health analysis.
Perfect for hospital systems that need to democratize FHIR data access across clinical and administrative teams.
Medical Data Analytics for Healthcare Research
Rapidly prototype FHIR analytics solutions without building custom data processing infrastructure. Validate analytical approaches, explore data quality, and create proof-of-concepts for healthcare AI applications.
Ideal for startups and research teams building healthcare analytics products and need to quickly understand FHIR data structures.
Clinical Data Analytics for Healthcare Consultants
Demonstrate FHIR analytics capabilities to clients, create compelling data visualizations for healthcare organizations, and provide rapid insights from existing FHIR datasets during consulting engagements.
Essential for FHIR consultants who need to quickly analyze client data and demonstrate the value of structured healthcare data analytics.
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