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FHIR Analytics Platform

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.

Bartosz Michalak
Director of Engineering
Sebastian Kalisz
Senior Software Engineer
Dominik Cywiński
AI/ML Engineer
problem statement

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.

Key features

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.

use cases

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.

Ready to transform your FHIR data into insights?

Start building powerful healthcare analytics workflows with FHIRBoard's AI-powered ViewDefinitions and integrated visualization tools.

Check on GitHub

Frequently Asked Questions

What is FHIRBoard ?

FHIRBoard is an open-source application designed to streamline FHIR data analytics and visualization workflows. It provides a user-friendly interface for working with FHIR ViewDefinitions and bridges the gap between raw FHIR datasets and actionable insights.

Do I need to know SQL to use FHIRBoard ?

No! FHIRBoard automatically converts FHIR ViewDefinitions to SQL queries, and our AI-powered features can generate ViewDefinitions from simple text descriptions. You can focus on your analytics goals without worrying about complex SQL coding.

Can I use my own FHIR data ?

Yes, you can work with your own FHIR export data. Simply place your export files in the designated directory when running FHIRBoard locally. Future releases will support direct upload and integration with FHIR servers using bulk export API endpoints.

Is FHIRBoard free to use ?

Yes, FHIRBoard is completely free and open-source under MIT license. You can run it locally with Docker, modify the code, and use it in your projects without any restrictions.

How does the Apache Superset integration work ?

FHIRBoard exports queries as views to a DuckDB database that's shared between the Rails application and Apache Superset. This allows you to create professional dashboards and visualizations directly from your FHIR analytics results.

What FHIR versions are supported ?

FHIRBoard works with standard FHIR resources and ViewDefinitions. It's designed to be version-agnostic, focusing on the data analysis patterns rather than specific FHIR version requirements.

Talk to us

Need help with FHIR analytics implementation?

Our team at Momentum specializes in healthcare data analytics and FHIR implementations. Whether you're building custom analytics platforms, need help with complex FHIR integrations, or want to accelerate your healthcare data projects, we're here to help you succeed.

Work with Our Team