We have production experience with Epic, Cerner (Oracle Health), Allscripts, Veradigm, NextGen, AthenaHealth, and Altera. Depending on the system and your requirements, we connect through FHIR R4 APIs, HL7 v2 message feeds, CDA documents, or direct vendor APIs.

HL7 v2 is a legacy messaging standard used by most hospital systems for ADT, lab results, and orders. CDA is an XML-based document standard for clinical summaries and discharge notes. FHIR R4 is the modern RESTful API standard built for healthcare interoperability. Most EHR integration projects involve a combination of all three, depending on which vendors you need to connect to.

Yes. We build Epic integrations through FHIR R4 APIs and SMART on FHIR authorization. Patient data access, clinical workflow integration, and provider-facing applications connected to Epic through standard and custom endpoints.

Yes. We integrate with Cerner (now Oracle Health) through their FHIR API, HL7 feeds, and direct APIs. Patient records, clinical documents, lab results, and scheduling data connected to your product with HIPAA-compliant data handling.

We design FHIR-compliant data models, build API layers that expose and consume FHIR resources, implement SMART on FHIR authorization, and connect to target EHR systems. Our FHIR MCP Server accelerates development by providing natural language access to clinical data during prototyping and testing.

We start with schema mapping between source and target systems, then build incremental migration pipelines with data validation at each step, rollback procedures, and parallel running periods. Zero downtime is the standard. We have migrated clinical platforms handling thousands of users without service interruption.

We normalize data from different vendors into a unified FHIR-based data model. Your product works against a single consistent API regardless of which EHR system the data comes from. Interoperability is built into the architecture, not added after launch.

Yes. We use FHIRBoard, our open source FHIR analytics tool, to convert FHIR ViewDefinitions into SQL and present them in Apache Superset dashboards. Clinical teams can explore patient demographics, treatment patterns, and outcomes without writing queries.

Encryption at rest and in transit, audit logging for every data access event, role-based access controls, and BAA agreements with infrastructure providers. Data exchange pipelines are designed with compliance from the architecture level, including data minimization and purpose limitation for every endpoint.

We start with an assessment of your clinical data landscape and business needs. Then we design the integration architecture (FHIR, HL7, or direct API), build and test against real clinical scenarios, and deploy to production with monitoring. Post-launch we handle vendor updates, new EHR onboarding, and ongoing support.

Both. Most engagements connect your product to existing EHR systems through their APIs. Some clients need custom EHR integration software built from scratch, typically middleware that normalizes data across multiple vendors into one internal format your team can build against. We scope which one you need during the assessment phase.

Yes. Telehealth EHR integration usually means pulling patient history and medication lists into the visit interface, then writing visit notes and orders back to the EHR after the session. We've built this pattern for platforms handling both patient-facing video visits and provider-facing clinical documentation.

When it makes sense for the architecture, yes. We design an internal EHR integration API layer that normalizes FHIR, HL7, and vendor-specific formats into one consistent interface, so your product and engineering team build against a single API instead of every EHR vendor's own quirks.

Depends on vendor count and data complexity. A single-vendor FHIR R4 integration for a well-scoped use case can move faster than a multi-vendor project pulling from legacy HL7 v2 feeds alongside modern FHIR APIs. We give a specific timeline after the assessment phase, once we know which EHR systems and data types are in scope.

Vendor API changes are part of ongoing support, not a separate emergency engagement. We monitor integration health and vendor changelogs, and handle updates as part of the launch and support phase so your product doesn't break silently when Epic or Cerner ships a new API version.

Yes. Bennabis Health is a reference project here: eligibility processing and membership data connected alongside clinical data, scaled from individual to enterprise group plans. Insurance and eligibility integration follows the same architecture principles as clinical data, just against different endpoints and data models.

Yes, this comes up often for provider-facing tools. We build the same normalization layer between EHR data and CRM systems as we do between multiple EHR vendors, so sales, support, or operations teams get clinical context without direct EHR access.

Standalone engagements are common. Teams with an existing product often need the EHR connectivity layer added without a full rebuild. We scope integration-only projects the same way we scope full builds: assessment, architecture, development and testing, then launch and support.

Our EHR integration covers FHIR and HL7 integration wherever a vendor supports them, for both patient-facing and provider-facing products. Where a system runs on a proprietary API instead of an open standard, we build the custom connection to match it. The standard is the default, not the limit.