FHIR data platform & integration

High-Performance FHIR Data Infrastructure

Pontegra bridges the gap between fragmented clinical data and modern healthcare innovation. By deploying our integrated FHIR data platform, you turn legacy complexity into high-quality, actionable HL7 FHIR® resources.

SMART apps, CDS services, and analytics pipelines all operate from the same governed clinical data foundation.

We do this with a proven stack:

  • Ignifyr: A high-performance engine for seamless ingestion and transformation into HL7 FHIR.
  • Repofyr: A secure, FHIR-native clinical data repository and API layer designed for scale.

Together, they form a governed, repeatable, and scalable FHIR backbone for healthcare delivery, research, and national programs.

Strategic and Operational Impact

Moving to a standardized FHIR platform isn’t just about compliance; it’s about operational agility.

Accelerated Interoperability: Replace multiple custom integrations with a standardized FHIR API.

Scientific-Grade Data Quality: Profile-based validation during ingestion and at rest, supported by automated testing and continuous monitoring.

A Unified Access Model: Operational applications, SMART apps, CDS services, and research pipelines consume the same governed data model without rebuilding extraction logic.

Security and Audit by Design: Standards-based authentication and authorization combined with configurable audit trails.

Enterprise Scalability: Architecture that grows with you, from single-hospital deployments to multi-regional repositories.

From Ingestion to Secure API Access

Ingest and transform with Ignifyr

Ignifyr is engineered for “hospital reality”: multiple sources, messy schemas, changing requirements, and the need to test continuously.

  • Diverse Connectivity: Connect to SQL databases, REDCap, file systems, FHIR endpoints, Kafka streams (batch or streaming).
  • Low-Code Mapping: Use a web-based interface with a built-in FHIRPath editor, enabling clinical analysts to manage mappings without “a full engineering team”.
  • Pre-Built Accelerators: Leverage off-the-shelf mappings from common models (e.g., OMOP CDM, i2b2 CDM, HL7 CDA, FHIR R4) to FHIR R4/R5.
  • Production-Grade Reliability: Ensure data integrity with automated testing and profile-based validation, supported by real-time execution monitoring for both batch and streaming jobs.
  • Flexible Sinks: Write output directly to a FHIR server (e.g., Repofyr, HAPI, Firely) or export to NDJSON/Parquet for downstream analytics.

Ignifyr manages the integration lifecycle through versionable Projects. By bundling schemas, mappings, and terminology into defined ETL Jobs, the platform transforms complex ingestion into a repeatable and transparent workflow.

Host and serve with Repofyr

Repofyr acts as your high-performance clinical vault, designed to serve as your API gateway.

  • FHIR-Native Architecture: Behavior is driven by native FHIR artifacts (CapabilityStatement, SearchParameter), making it truly version-agnostic.
  • Performance at Scale: Powered by MongoDB with configurable sharding, ensuring low-latency even with massive data volumes.
  • Built-in Data Integrity: Enforce real-time validation against base FHIR constraints and custom profiles to ensure every record is compliant before it is stored.
  • Fine-grained Governance: Implement complex RBAC/ABAC policies, enable Open ID Connect and SMART on FHIR to protect sensitive patient data while maintaining accessibility.
  • Deployment Freedom: Run on-premises for maximum control or in the cloud (e.g., AWS, Azure, Google Cloud).

Repofyr is more than just a storage layer; it is a highly configurable engine. It allows you to explicitly model data, shape API behavior, and optimize search performance through clinical-context sharding and indexing, aligned precisely to your search parameters as described in Repofyr “How it works” flow.

Harmonized Ecosystem Access

Once data is unified in the Pontegra platform::

  • SMART apps and CDS Hooks services rely on stable resource shapes and predictable search behaviour.
  • Analytics pipelines (e.g., Spark-based cohort/dataset extraction) reuse existing FHIR queries, eliminating redundant extraction logic.
  • Centralized Governance provides a single, consistent audit story for the entire organization (instead of each integration re-inventing it).

Ideal Deployment Scenarios

Hospitals / regional health systems looking to replace legacy integration engines and enable real-time SMART apps and decision support.

Research & AI initiatives that require standardized, validated data for repeatable extraction and high-fidelity analysis.

National / multi-organisation health programs that demand scalable, multi-tenant FHIR repositories with strict, sovereign access controls.