A pre-built interface engine layer for HL7 v2/v3, FHIR R4, and DICOM traffic, with routing, transformation, and monitoring configured through mapping rules instead of custom point-to-point code.
Every new EHR, lab system, or imaging system a health system connects tends to become its own custom integration, each with its own retry logic and its own failure mode nobody remembers six months later. This framework replaces that pattern with a single interface engine: HL7 v2/v3, FHIR R4, and DICOM traffic all route through the same protocol-agnostic layer, and new connections are added as mapping rules rather than new codebases.
It ships with visual mapping and transformation tooling, retry and dead-letter handling for messages that fail downstream, and a real-time monitoring dashboard so interface issues surface before they become a clinical data gap, not after a department calls to ask why results never arrived.
HL7 v2/v3, FHIR R4, and DICOM messages route through the same engine, so adding a new source or destination system doesn't mean adding a new integration codebase.
Field-level mapping and transformation logic are configured visually and versioned, instead of buried in custom scripts only one engineer understands.
Failed deliveries are retried automatically on a configurable policy, and anything that still fails lands in a dead-letter queue for review rather than silently disappearing.
A live dashboard shows message volume, failure rates, and latency per interface, so a struggling connection is visible before it causes a clinical data gap.
Native MLLP support for HL7 v2 traffic alongside REST-based FHIR endpoints, covering the transport patterns most EHRs and lab/imaging systems actually use.
Mapping and routing changes are versioned with a change log, so a modification to one interface can be traced, reviewed, and rolled back independently.
| Dimension | Details |
|---|---|
| Protocols | HL7 v2.x/v3, FHIR R4, DICOM |
| Transport | MLLP, REST, HTTPS |
| Mapping | Visual rule-based field & message transformation |
| Reliability | Automatic retry, dead-letter queue, alerting |
| Monitoring | Real-time dashboard, per-interface metrics |
| Compliance | HIPAA, BAA-ready hosting |
Inventory your source and destination systems and map them to the engine.
Build visual field mappings and routing rules per interface.
Run live message traffic through the engine against test endpoints.
Staged rollout with monitoring, alerting, and a rollback plan.
It can do either. Most deployments migrate interfaces onto the framework incrementally, running alongside a legacy engine during transition rather than requiring a single cutover.
Messages are retried automatically on a configurable policy. If delivery still fails, the message lands in a dead-letter queue for review instead of being dropped.
Yes, a real-time monitoring dashboard tracks message volume, failure rate, and latency per interface, with alerting on thresholds you configure.
Yes, DICOM traffic routes through the same protocol-agnostic engine as HL7 v2/v3 and FHIR R4, so imaging integrations don't need a separate toolchain.
Every mapping and routing change is versioned with a change log, so a specific interface's history can be reviewed and rolled back independently of others.
Book a discovery call, we'll map your use case to a realistic configuration scope and deployment timeline.