FHIR HL7 Interface Engine for Advanced Interoperability

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FHIR HL7 Interface Engine That Closes Interoperability Gaps

The Gap Today

What It Costs You

How Decode Health Solves It

Patient information is scattered across EHRs, labs, & imaging systems, making it hard for care teams to get a complete, accurate data view.
Roughly four hours a week are spent finding and fixing the same broken messages.
Every time a new partner, insurance company, or registry wants to connect, the team has to build the connection from scratch.
Six to twelve weeks for each new connection, with an engineer assigned to it the whole time.
Older systems and newer cloud tools communicate in different languages. They don’t naturally understand each other.
Two separate integration teams, two sets of tools, twice the bill.

See Decode Health in Action

See Decode Health in Action

How a Message Moves Through Decode Health 

Stage 01

Inspect & Route

Filter what comes in
Passes the Stage 01
Stage 02

Parse, Validate, Enrich

Thoroughly checking the data
Passes the Stage 02
Stage 03

Transform & Deliver

Standardization for delivery
Passes the Stage 03
Stage 04

Monitor, Replay, Audit

Watch every message, end to end
Passes the Stage 04

Ready to close the interoperability gap?

A well-scoped HL7 v2 channel from kickoff to production in as little as two weeks.

How Decode Health Solves Your Integration Challenges

Simplified Integration

A centralized HL7 integration engine simplifies how interfaces are built and managed. It shortens implementation timelines & reduces the effort required for ongoing troubleshooting.

Bulk Message Processing

The system smoothly processes real-time bulk batch messages, keeping clinical workflows running smoothly while managing high data volumes for analytics and reporting.

Flexible Data Transformation

Advanced data transformation normalizes messages to meet different system requirements, allowing information to convert easily between multiple data formats.

Security & Operational Reliability

Built-in security protects sensitive healthcare data across environments through encryption, authentication, and activity logging that support stable operations.

Consultant Support

Easy access to integration consultants helps keep systems running smoothly, with problems fixed quickly as systems grow and integrations become more complex.

Our HL7 Interface Engine Works With Leading Healthcare Platforms

HL7 v2. and V3

v2.3 through v2.8 — ADT, ORU, ORM, SIU, MDM, DFT, RDE

On-premises

In your data center, on your servers. You own the hardware and patching.

EHR platforms

EPIC, Oracle Health (Cerner), MEDITECH, athenahealth, NextGen, eClinicalWorks, Allscripts

FHIR R4, R4B, R5

REST, messaging, and document paradigms with SMART or FHIR support

Your AWS cloud

Deployed into your AWS account. PHI stays in your tenant.

Labs & diagnostics

Labcorp, Quest, regioral reference labs, ELR to state health departments

CDA / C-CDA

CDA R2 documents including CCD and C-CDA 2.1

Your Azure cloud

Same model. You own the subscription; we configure the deployment.

Pharmacy & EDI

E-prescribing networks, payer APIs, claims and eligibility clearinghouses

X12 EDI

270/271 eligibility, 837/835 daims, 834 enrollment, 999 acknowledgment

Your GCP cloud

Full GCP support, including private VPC deployment.

Imaging & PACS

PACS, VNAs, DICOM modality worklists, Al inference platforms

DICOM and DICOM web

QIDO-RS, WADO-RS, STOW-RS for imaging workflows

Hybrid

Listeners on-prem, processing in your cloud for systems mid-transition. Systems we connect

Devices, wearable, RPM

Continuous glucose monitors, BP cuffs, ECG patches, smart scales

NCPDP SCRIPT

2U1/0/1 and later, for pharmacy and e-prescribing

Containerized

Docker images and Kubemetes Helm charts for DevOps-mature teams.

FHIR endpoints

SMART on FHIR apps, CMS Patient Access, Provider Directory, Da Vinci PDex

JSON, XML, delimited text

For analytics warehouses and modern app payloads 11 here the engine runs

Public health registries

Immunization (VXU), syndromic surveillance, cancer registries, eCR

How Decode Health is Different

Integration Services
Faster Time to Live
Older and Newer formats in One Engine
Compliance Built in
Stays in Your Environment

Integration Services

Integration Services

Our integration team builds your connections and mappings for you. There's no separate vendor to hire and no new department to staff.

Faster Time to Live

Integration Services

A standard integration goes live in about two weeks. Most other engines take a month or two, even with an experienced team in place.

Older and Newer formats in One Engine

Older and Newer formats in One Engine

Information moves cleanly between traditional healthcare formats and modern APIs, in either direction, without custom translation code.

Compliance Built in

Compliance Built in

HIPAA, ISO 27001, and GDPR are part of the standard engagement, not an upgrade tier you have to pay extra for.

Stays in Your Environment

Stays in Your Environment

The engine runs in your own data center or your cloud account. Patient data never leaves your control.

FHIR HL7 Interface Engine That Closes Interoperability Gaps

Feature

Recommended

Decode Health

Commercial Engines

Open-Source

Implementation included

The team builds channels and mappings. No separate SI contract, no in-house team build-out.

Time to first integration

A well-scoped HL7 v2 channel from kickoff to production cut-over.

Integration team needed

HL7-fluent engineers required to operate the engine day-to-day after go-live.

Monitoring & on-call

Tier-1 and tier-2 incident response handled by our managed services team.

HIPAA · ISO 27001 · GDPR

Compliance certifications and a Business Associate Agreement included in the engagement.

Licensing model

What you actually sign for.

Implementation cost

Where the cost of getting live actually lands.

Reference customers

Named customers willing to take a reference call before contract signature.

Who is Decode Health Built For

Hospitals & Patient Care Centers

Connect your EHR to imaging and labs for a unified, 360-degree view of every patient.

Medical Imaging Centers & Labs

Automate the high-volume exchange of orders and results with external physician groups instantly.

Rapid Integration

Don't let technical barriers stall your growth. Use Decode Health to plug your proprietary solution into hospital systems like Epic or Cerner in weeks.

Enterprise Readiness

Build your product on a foundation that meets the strict interoperability standards required by large-scale healthcare institutions.

Pharma & CROs

Automatically collect accurate, high-quality data from multiple trial sites to significantly speed up clinical research.

Public Health Organizations

Pull data from across your entire care network to track health trends and improve community-wide outcomes.

Remote Patient Monitoring (RPM)

Stream vitals and health data from patient homes directly into clinical workflows without manual data entry.

Specialized Clinics

Coordinate treatment and improve outcomes by pulling consistent data from your partner institutions and support networks.

Frequently Asked Questions

Does Decode Health support both HL7 v2 and FHIR R4 / R5 natively?

Yes. The same channel can work for HL7 v2 ORU message, validate it, transform fields into a FHIR Observation resource, and POST it to a downstream FHIR R4 or R5 endpoint. The reverse direction works too. Converting FHIR resources into HL7 v2 messages for legacy systems that still expect them. The translation is bi-directional and version-aware because Decode Health is not an HL7-only tool with an FHIR layer.
  • ADT (admission/discharge/transfer)
  • ORU (observation results)
  • ORM (orders)
  • SIU (scheduling)
  • MDM (document management)
  • DFT (financial transactions)
  • RDE (pharmacy orders)
  • RAS (pharmacy administration)
  • BAR (billing)
  • PPR (patient problems)
  • VXU (vaccinations)
  • Z-segments and vendor-specific message variants are handled through configurable parsing profiles
HL7 mapping is rarely clean. Two hospitals on the same EHR will use the same segments differently. PID-7 might hold a date of birth as YYYYMMDD at one site and YYYYMMDDHHmm at another. Our mapping layer is built around versioned, testable mapping scripts. We diff them like code, we replay messages against new versions before promoting them to production, and we keep an explicit record of every per-site variation. The HL7 parser exposes every segment, field, and component, including custom Z-segments.
Yes. A single channel in the FHIR HL7 interface engine can accept an HL7 v2 message, enrich it from a FHIR resource server, and emit an X12 837 or an NCPDP SCRIPT message, whichever the receiving system expects. This matters when a clinical event needs to fan out to clinical, financial, and pharmacy systems in parallel.

Yes. Continuous glucose monitors, blood pressure cuffs, smart scales, ECG patches, and pulse oximeters can all be normalized into HL7 v2 ORU messages or FHIR Observation resources, then routed to the EHR or to a separate analytics platform.

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