A pre‑built ingest pipeline that maps any HL7 v2 feed to clean FHIR R4 — schema detection, segment parsing, validation, enrichment, and publish. Tuned on your data in week one, in production by week eight.
5-stage transform engine: schema detect → segment parse → FHIR map → validate → publish. Configurable per source.
2,400+ pre-built HL7 → FHIR mappings covering ADT, ORM, ORU, MDM, SIU. Custom mappings in DSL.
US Core, IPS, and custom profile validation. Sends rejected records to a queue with the failing rule attached.
HIPAA-grade audit. FHIR AuditEvent resource, append-only Postgres backing store, 7-year retention.
Detects schema drift in upstream feeds. Alerts to PagerDuty when rejection rate exceeds threshold.
Reprocess any time window with a new mapping. Useful for backfills, schema changes, and corrections.
Operator UI to inspect feeds, see rejection queue, replay records, and view drift dashboards.
One-command deploy to AWS, GCP, or Azure. HIPAA-eligible services only. Optional on-prem K8s manifest.
15 named runbooks for common incidents. 99.97% uptime SLA on Hosted tier. On-call by Emorphis engineers.
We'd spent eighteen months trying to build an HL7-to-FHIR layer in-house. Emorphis had ours in staging by week two, in production by week eight, and we redirected the team to clinical work that actually mattered.
Tell us about your feeds, your downstream FHIR server, and your timeline. We'll send a pilot scope, architecture sketch, and fixed-fee quote within three business days.