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Industries · Healthcare & Life Sciences

Healthcare integration, end-to-end. Across your clinical systems.

The platform that routes the clinical messages your hospital, payer, lab or HIE depends on every minute. The AI Accelerator knows HL7 v2, FHIR R4, X12, NCPDP and IHE PIX/PDQ/XDS at specification level, so your team builds parsers, maps and validations in hours, inside your own Azure tenant. Message tracking on every edition, audit stream on Grow and Enterprise, and an architecture your privacy officer can review: data stays in your tenant, and you decide what persists.

Architecture and Access Statement available on request.

EHRHL7 v2 · FHIR R4 LAB / LISHL7 v2 · ORU PHARMACYNCPDP · HL7 RDE PAYER / HIEX12 · FHIR R4 iQBus
Our Clients
The realities

What integration looks like inside a working healthcare estate.

Reality 01
Two standards. Live. Simultaneously.

HL7 v2 still routes most production traffic; FHIR R4 is what new consumers expect. Both coexist for years, so the platform translates between them at runtime.

Reality 02
Multiple EHRs under one roof

A typical system runs one EHR at the flagship hospital, another in acquired facilities, a third across the clinics, and home-grown apps for specialty workflows. Each speaks differently.

Reality 03
PHI in transit, retention for years

Clinical messages carry PHI, and audit retention runs 6 to 10 years by state. Your integration layer owns a large share of the PHI exposure surface in the estate.

Reality 04
Cures Act, ONC, USCDI

Federal mandates keep moving the FHIR target, USCDI v3 today and v4 next. The layer has to evolve without breaking existing v2 consumers.

Where it runs

Acute care, ambulatory, payer and exchange. One integration backbone.

From the acute-care floor to the payer network, the same runtime and the same message tracking.

Acute-care hospital nurses' station with clinical monitors
Acute care

Hospitals & health systems

Multiple EHRs and home-grown systems under one roof, with ADT, orders, results and charges routed in real time.

Ambulatory outpatient clinic exam room with clinician
Ambulatory

Clinics & physician groups

Ambulatory EHRs kept in sync with the flagship system, with no manual re-keying.

Healthcare data exchange network with glowing data flows
Payer & exchange

HIEs, payers & labs

X12 eligibility and claims, FHIR R4 endpoints, and public-health reporting across member networks.

Care continuum flow

One patient. Eight systems. One traced thread.

One patient's encounter moving across the clinical estate, from registration through lab, imaging, pharmacy and billing. Each stop is a different system, and each transition is an HL7 v2 or FHIR R4 message routed by iQBus, tracked and replayable.

Patient encounter · MRN UMC-77104 · Day 1
Outpatient lab + imaging visit
08:32Day 1
Outpatient registration
EHR interface engine · ADT
ADT^A04 · Register

Check-in captures demographics, insurance and consent. iQBus broadcasts the ADT event to the downstream subscribers (billing, lab, pharmacy) within 200ms.

09:14Day 1
Provider orders lab + imaging
EHR · CPOE
ORM^O01 × 2 · Orders

Provider places two orders, a CBC panel and a chest X-ray. iQBus routes each to the right ancillary (lab analyzer, RIS) with patient context preserved.

10:48Day 1
Lab specimen processed
Lab analyzer · LIS
ORU^R01 · Lab Result

Analyzer emits the result via HL7 v2.5.1 over MLLP. iQBus validates it, transforms to a FHIR R4 Observation for the population-health platform, and persists to the EHR.

11:22Day 1
Imaging study completed
RIS · DICOM gateway
ORU^R01 + DICOM SR

Radiologist finalizes the report. The structured report flows through iQBus to the EHR; the image stays on PACS, cross-referenced by accession number in the FHIR ImagingStudy resource.

12:05Day 1
e-Prescription dispatched
e-Prescribing network · Pharmacy
RDE^O11 · NewRx

Provider prescribes on the lab finding. The NewRx (NCPDP SCRIPT) routes via iQBus to the patient’s pharmacy, and RxFill is expected Day 2.

12:18Day 1
Population-health platform consumes
Population-health platform · FHIR R4
FHIR R4 Observation

The population-health platform pulls the lab observation via FHIR R4 for chronic-condition tracking. Same data, different shape, same message lineage.

14:50Day 1
Encounter closed, charges drop
EHR · Billing
DFT^P03 · Financial Transaction

Charge codes drop. iQBus routes the financial transaction to billing; coverage discovery (270/271) confirms eligibility before the claim.

16:33Day 2
Claim submitted to payer
Clearinghouse · Payer
X12 837P · Professional Claim

Professional claim goes to the clearinghouse and on to the payer. The 277 status is expected within 48 hours, and reconciliation runs continuously in the operator UI.

Each stop is correlated under a single business-thread ID (enc-UMC-77104-d1). One click in the operator UI surfaces the whole chain (ADT, orders, results, prescription, charges and claim) with payload, timing and status side by side. This is what your operations team sees in production.
Platform security posture

An architecture your privacy officer can review.

iQBus runs inside your own Azure tenant. Data stays in your tenant, and you decide what persists. Encryption at rest and in transit, Entra ID access and Key Vault-backed secrets. Message tracking on every edition, audit stream on Grow and Enterprise, with retention you set to match your state rules (6 to 10 years typical).

Tenant-scopedRuns in your Azure subscription
Entra IDSSO & managed identity
Key VaultSecrets and certs
Message trackingOn every edition
Audit streamGrow and Enterprise
IHE PIX / PDQ / XDSProfile-level support
Healthcare-specific working session

Walk a real clinical flow with our team.

30 minutes with a senior healthcare-integration architect. Bring one live HL7 feed and leave with a tailored FHIR readiness plan and a working model of the patterns that matter. No slides.