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One agentic pipeline. Production-grade integration channels.

A deterministic, auditable state machine — not a free-form multi-agent chat — moves every channel from raw schema to a deployed, validated integration.

The agentic pipeline

STEP 1

Parse

Schema Parser ingests source HL7v2 segments, FHIR resources, or C-CDA templates into a canonical representation.

STEP 2

Plan

Mapping Planner proposes field mappings grounded in SNOMED CT, LOINC, ICD-10-CM, and RxNorm embeddings, with a calibrated confidence score per mapping.

STEP 3

Generate

Code Generator produces the transformer and filter code for the target channel.

STEP 4

Validate

Generated code is executed in a sandbox against sample messages; a structured error trace is produced.

STEP 5

Fix

The Fixer agent conditions on the error trace to correct the generation — up to 5 iterations.

STEP 6

Approve

Low-risk changes auto-deploy. High-risk changes (unit conversions, demographic mappings, medication codes) require human approval, regardless of AI confidence.

Eight capabilities that redefine the category

Agentic AI channel generation

Time-to-production for standard HL7v2 → FHIR R4 integrations drops from 2–4 weeks of developer effort to under 5 minutes.

Self-healing integration

Continuously monitors for schema drift, FHIR CapabilityStatement changes, new Z-segments, and terminology updates — and regenerates and validates fixes automatically.

Full connector parity

HL7v2/MLLP, FHIR R4 REST, DICOM (C-STORE, C-FIND, DICOMweb), HTTP/REST, SOAP, Kafka, JDBC, File, FTP/SFTP, JMS, S3, ASTM, WebSocket, Email — 14 connectors in total.

Real-time operations dashboard

Live channel health, throughput graphs, latency percentiles (p50/p95/p99), queue depth, error analytics, and interactive message-flow topology.

Git-based versioning & collaboration

Channels, transformers, and filters are first-class Git artifacts — branching, pull requests, code review, and environment promotion (dev → staging → prod).

RBAC & compliance

Enterprise SSO (SAML 2.0, OIDC, LDAP/AD via Keycloak), granular custom roles, channel-level access scoping, immutable audit trails, PHI-access logging.

Intelligent alerting

10+ alert types — channel down, error-rate spike, latency degradation, queue backlog, schema mismatch, certificate expiry — via Slack, Teams, PagerDuty, webhooks, email, SMS.

Natural language operations

"Show me all channels with errors in the last hour." Operators query channel state in plain English; the LLM planner translates to structured queries and proposes remediation.

Connector breadth

Native support for every major healthcare integration protocol — matching legacy engine breadth while adding cloud-native connectors.

HL7v2 / MLLP FHIR R4 REST DICOM HTTP / HTTPS SOAP Apache Kafka JDBC File FTP / SFTP JMS Amazon S3 ASTM (lab analyzers) WebSocket Email