At Exafluence, we believe healthcare data should move as seamlessly as care itself. The EXF FHIR Platform was built to help payers, providers, and partners unlock the full potential of HL7® FHIR® by enabling secure, scalable, and intelligent interoperability.
EXF FHIR is part of EXF Health, the healthcare innovation arm of Exafluence. With decades of expertise in healthcare IT and enterprise data platforms, our mission is to simplify complex integrations, accelerate regulatory compliance, and drive better patient outcomes through technology.
We provide comprehensive FHIR solutions that transform healthcare data interoperability through cutting-edge AI technology.
Transform Non-FHIR, legacy, and EDI formats into FHIR (and back again) with semantic accuracy and minimal manual effort.
Identify and close care gaps with population-level analysis, Epic & Cerner integration, and AI-powered summarization.
Deliver high-performance, cloud-native data storage and APIs aligned with US Core, HEDIS, and CMS mandates.
Support unique integration guides, quality measures, and deployment needs for health plans, providers, and digital health innovators.
We combine AI-driven automation with human-in-the-loop validation to ensure precision and trust. Every deployment is designed to be cloud-agnostic, secure, and scalable to millions of patient records.
The healthcare ecosystem is evolving rapidly, and interoperability is no longer optional—it's mission critical. EXF FHIR helps organizations:
Achieve compliance with CMS, NCQA, and payer quality programs
Improve care coordination and patient experience
Reduce costs of integration and reporting
Accelerate digital transformation initiatives
To redefine healthcare interoperability with AI-first, FHIR-native solutions that empower organizations to deliver higher-quality care at lower cost, while building a connected ecosystem that benefits patients, providers, and payers alike.
Discover how EXF FHIR can help your organization achieve seamless interoperability and drive better patient outcomes.