HL7 Integration · Technical Expertise
From HL7 v2.1 message parsing to FHIR R4/R5 resource orchestration — Peerbits has 15+ years of deep HL7 integration engineering across every major EHR, lab system, imaging platform, and payer gateway in the US healthcare market.
# Inbound ADT^A01 — Patient Admit
MSH |^~\&|EPIC|MRN001|PEERBITS_HUB |20250516143022|| ADT^A01^ADT_A01|MSG20250516001|P|2.5.1
EVN |A01|20250516143022
PID |1|MRN-40821|40821^^^MRN||Martinez^Jorge^Luis||19680314|M
PV1 |1|I|4N^401^A|1|||12345^Smith^John^M
DG1 |1|ICD10|I21.0|STEMI anterior wall|A
MSG_TYPE
ADT^A01 · Patient Admit
VERSION
HL7 v2.5.1 ✓ Valid
PATIENT_ID
MRN-40821 · MRN
PATIENT_NAME
Martinez, Jorge Luis
LOCATION
Ward 4N · Room 401 · Bed A
DIAGNOSIS
I21.0 · STEMI Anterior
MSH|^~\&|PEERBITS_HUB| ... |ACK^A01| ...
MSA|AA|MSG20250516001|Message accepted
3.2ms round-trip
Compliance & Standards
Peerbits supports every clinically significant HL7 v2.x message type across all active versions, with full FHIR R4/R5 equivalent resource mapping, bidirectional transformation, and validation against the HL7 conformance profile library.
| Type | Peerbits | v2.3–v2.5.1 | v2.6–v2.8 | FHIR R4 Map |
|---|---|---|---|---|
| ADT Admit · Discharge · Transfer | ✓ Full | ✓ | ✓ | Encounter |
| ORM / OMG Orders · General Clinical | ✓ Full | ✓ | ✓ | ServiceRequest |
| ORU Observation Result | ✓ Full | ✓ | ✓ | Observation |
| SIU Scheduling · Appointments | ✓ Full | ✓ | ✓ | Appointment |
| MDM Medical Document Mgmt. | ✓ Full | ✓ | ✓ | DocumentReference |
| BAR / DFT Billing · Charges | ✓ Full | ✓ | ✓ | Claim / ChargeItem |
| MFN Master File Notification | ✓ Full | ✓ | ✓ | Practitioner / Org |
| RDE / RDS Pharmacy · Dispensing | ✓ Full | ✓ | v2.6+ | MedicationRequest |
| VXU Vaccination Record | ✓ Full | ✓ | ✓ | Immunization |
| ACK / NACK Acknowledgement | ✓ Full | ✓ | ✓ | OperationOutcome |
| PPR / PRR Patient Problems · Goals | ✓ Full | ✓ | Partial | Condition / Goal |
| Z-Segments Custom · Proprietary | ✓ All | ✓ | ✓ | Extension |
A centralized message broker and transformation engine that normalizes HL7 v2.x messages from any source system into a canonical data model — routing, enriching, transforming, and delivering to any target system or FHIR endpoint in real time.
Epic EHR
ADT · ORM · ORU · MDM
Oracle Cerner
ADT · ORM · ORU · SIU
LIS / Lab System
ORU · ORM (LOINC)
RIS / PACS
ORM · ORU · DICOM
Pharmacy (PIS)
RDE · RDS · NCPDP
→
→
→
→
→
PEERBITS
HL7 HUB
Parse + Validate
Transform + Enrich
Route + Filter
ACK / NACK + Log
v2.x → FHIR R4 Map
→
→
→
→
→
FHIR R4 API
REST · JSON · OAuth 2.0
EHR Write-back
Athena · eCW · NextGen
Data Warehouse
Snowflake · Redshift · BQ
Payer Systems
X12 EDI · Claims
Analytics Platform
FHIR Bulk / API
// Figure 1 — Peerbits HL7 Integration Hub. MLLP and HTTP inbound from source systems → parse, validate, transform, enrich, route → outbound via FHIR R4/R5, HL7 v2.x, X12, or JSON. 10M+ messages/day at 99.97% uptime.
TRANSFORMATION ENGINE
Every HL7 v2.x message that enters the Peerbits hub can be transformed into a valid FHIR R4 resource bundle — enabling legacy system data to flow into modern FHIR-native applications without a forklift upgrade of the source system.
MLLP / TCP
HTTP POST
File / Batch
Queue (Kafka)
Segment split
Field extract
Z-seg parse
Encoding fix
Schema check
Required fields
Code sets
ACK / NACK
v2 → FHIR R4
TermMap (LOINC)
SNOMED / RxNorm
Custom rules
Rules engine
Fan-out / filter
Priority queue
Dead letter
FHIR R4 POST
HL7 v2 out
Webhook / Queue
Bulk FHIR export
// Figure 2 — HL7 v2.x to FHIR R4 Transformation Pipeline. Six-stage processing with sub-15ms average end-to-end latency. Failed messages routed to dead letter queue with automatic retry and alerting.
Real-World Challenges
HL7 v2.x has been deployed across 35+ years and thousands of healthcare organizations — each with their own implementation quirks, custom Z-segments, and non-standard field usage. Real HL7 integration expertise is earned in production environments, not built from reading the spec.
A single Epic deployment can emit HL7 v2.3 from its legacy ADT feed, v2.5.1 from its lab interface, and FHIR R4 from its patient-facing API — simultaneously. Vendors who only support one version create integration gaps that fall on IT teams to manually bridge, creating undocumented middleware that breaks when the EHR upgrades.
Every major EHR vendor adds proprietary Z-segments to HL7 messages — ZEP in Epic, ZCM in Cerner, ZPV in Meditech — carrying clinically critical data like acuity scores, insurance authorization numbers, and custom facility codes. Generic HL7 parsers silently discard these segments, causing data loss that only surfaces months later during an audit or a patient safety review.
HL7 v2.x messages are pipe-delimited ASCII by specification — but real-world systems send UTF-8, Latin-1, Windows-1252, and occasionally ISO-8859-1 characters in patient names, addresses, and clinical notes. Names with accents, special characters in addresses, and Unicode in clinical text cause silent truncation or corruption in parsers that don't handle multi-encoding gracefully.
HL7 MLLP connections require synchronous ACK responses — and source systems that don't receive an ACK within their timeout window will retransmit the message. Poorly configured acknowledgement handling creates duplicate message storms that flood downstream systems, trigger duplicate orders, create phantom lab results, and require manual cleanup by IT staff who should be working on higher-value problems.
Full Service Catalogue
Nine specialized HL7 and healthcare interoperability services — from custom interface development and legacy migration to real-time monitoring, validation frameworks, and FHIR transformation pipelines.
Bespoke HL7 v2.x interface builds for any source-to-target combination — ADT feeds, lab returns, radiology orders, pharmacy dispensing, scheduling, and billing. Full MSH/PID/PV1/OBX/ORC/Z-segment mapping with client-specific conformance profile documentation.
Production-grade bidirectional transformation between HL7 v2.x message types and FHIR R4/R5 resource bundles — covering all major message types with full terminology mapping (LOINC, SNOMED CT, RxNorm, ICD-10) and conformance validation against FHIR Implementation Guides.
Managed HL7 integration engine — MLLP listener, HTTP endpoint, Kafka consumer, and file watcher — with visual message routing rules, field-level transformation, content-based routing, fan-out to multiple targets, hot-reconfigurable, integrated dead-letter queue management.
Automated HL7 conformance validation against HL7 2.x schemas, client-specific conformance profiles, and FHIR implementation guides. Message structure validation, required field checking, value set validation, and regression testing suite — 500+ pipeline integrations available for teams deploying frequent EHR updates.
24/7 HL7 interface monitoring with per-message latency tracking, throughput dashboards, error rate alerting, ACK/NACK ratio monitoring, and interface health scoring — with PagerDuty, OpsGenie, and Slack alerting integrations. SLA reporting delivered monthly with root-cause analysis for any downtime events.
Managed migration from legacy integration engines — Mirth Connect, Rhapsody, Cloverleaf, Aculab, Axolot Connect — to modern FHIR-capable infrastructure, preserving all existing interface logic, conformance profiles, and custom transformation rules with full regression testing before cutover.
Full parsing and FHIR extension mapping for proprietary Z-segments across Epic, Cerner, Meditech, Allscripts, Athenahealth, eClinicalWorks, CPSI, and 7 additional vendors — with client-specific custom Z-segment definition, field documentation, and downstream system mapping specifications.
Full-service SMART on FHIR application development — OAuth 2.0 authorization, launch context handling, scoped FHIR resource access, and EHR-embedded UI components that launch natively within Epic, Cerner, or Athenahealth without a separate login or context switch.
Clinical Decision Support hooks implementation — hook registration, CDS service development, card response formatting, and EHR-embedded alert delivery — triggering real-time AI-generated recommendations, drug-drug interaction checks, and drug interaction alerts at the moment of clinical action inside any SMART-compliant EHR.
ENGAGEMENT MODEL
Every HL7 integration project begins with understanding what your system actually sends — not what the spec says it should send. Our discovery process has uncovered non-standard implementations in every major EHR we've ever connected.
STEP 1
Live message capture from your source system in a sandbox environment. We analyze actual message samples — not the vendor spec — documenting every field, every Z-segment, every non-standard usage before writing a line of integration code.
STEP 2
Source to target field mapping document with full segment coverage, Z-segment definitions, transformation rules, code set translations (ICD-10, LOINC, SNOMED), and FHIR resource mapping. Client-reviewed and signed off before implementation begins.
STEP 3
Interface build with automated validation against your conformance profile, regression test suite execution against your captured message samples, and load testing at 2x your peak expected throughput before staging promotion.
STEP 4
Controlled production cutover with parallel run period, real-time interface monitoring activated, SLA reporting dashboard provisioned, and on-call HL7 engineering support for the first 30 days post go-live.
COMPETITIVE DIFFERENTIATION
Compared to DIY Mirth Connect implementations, managed integration vendors like Rhapsody and Cloverleaf, and FHIR-only platforms that ignore the v2.x installed base — Peerbits delivers full-spectrum coverage with AI-assisted transformation and active Z-segment libraries.
| Capability | Peerbits | DIY Mirth | Rhapsody | Cloverleaf | FHIR-Only Vendors |
|---|---|---|---|---|---|
| HL7 v2.1 – v2.8 Full Coverage | ✓ All versions | Manual build | ✓ | ✓ | - |
| Proprietary Z-Segment Library (14 EHRs) | ✓ Maintained | - | Partial | Partial | - |
| HL7 v2.x → FHIR R4/R5 Auto-Transform | ✓ Bidirectional | Custom code | Limited | Add-on | FHIR-in only |
| Managed 24/7 Interface Monitoring | ✓ Included | - | Add-on | Add-on | Partial |
| Throughput at SLA (msg/day) | 10M+ · 99.97% | Varies | 5M+ · 99.5% | 8M+ · 99.5% | FHIR only |
| SMART on FHIR App Development | ✓ Full | - | - | - | Varies |
| CDS Hooks Integration | ✓ Full | - | - | - | Some |
| Average First Interface Go-Live | 6 Weeks | 4–6 Months | 3–5 Months | 3–5 Months | 2–4 Months |
MEASURED OUTCOMES
Across 180+ active HL7 interfaces processing over 10 million messages per day — these are the performance and delivery numbers Peerbits' engineering team stands behind.
10M+
Across all active production interfaces — ADT, ORM, ORU, SIU, BAR, VXU, and custom Z-segment flows.
99.97%
Measured across all production interfaces — fewer than 10 minutes of unplanned downtime per month across the entire interface estate.
≤15ms
Message ingest to write-back including parse, validate, transform, and route — measured at p99 under peak production load.
180+
Across 14 EHR platforms, 8 LIS vendors, 4 RIS/PACS systems, 3 pharmacy systems, and multiple payer gateway connections.
6wks
From discovery kickoff to production interface live — including message sample analysis, conformance mapping, build, validation, and controlled cutover.
0.03%
Message processing error rate across all active interfaces. All errors routed to dead letter queue with automated root-cause categorization and retry.
14
Epic, Oracle Health, Meditech, Athenahealth, eClinicalWorks, Netsmart, CPSI, Allscripts, and 6 additional — with maintained Z-segment libraries for each.
15yr
Peerbits' integration engineering team has built HL7 interfaces since 1800 — across every version, every major EHR, and every category of clinical message type.
From hospital IT teams migrating legacy Mirth implementations to health system CIOs modernizing towards FHIR — Peerbits' HL7 engineering work speaks for itself.
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Learn more about our processes from our clients
After a rigorous selection process, choosing Peerbits as our technology partner was the right choice. Peerbits is an innovative company with a team of talented, committed, and smart individuals. Thank you for helping us deliver world-class healthcare solutions.
Health Vector
READY_TO_CONNECT
In a 45-minute technical session, our HL7 engineering team will analyze your current interface architecture, capture sample messages from your environment, identify your highest-risk integration gaps, and give you a concrete plan to fix them.
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We support every active HL7 v2.x version — v2.1 through v2.8 — across all clinically significant message types including ADT, ORM, ORU, SIU, MDM, BAR/DFT, MFN, RDE/RDS, VXU, ACK/NACK, and proprietary Z-segments for 14+ EHR vendors including Epic, Cerner, Oracle Health, Meditech, and Athenahealth.
Our transformation engine maps every HL7 v2.x message segment to the corresponding FHIR R4/R5 resource — ADT to Encounter, ORU to Observation, ORM to ServiceRequest, MDM to DocumentReference — with full terminology translation (LOINC, SNOMED CT, RxNorm, ICD-10) and conformance validation against FHIR Implementation Guides.
Most interfaces go live in 6 weeks — from discovery kickoff through production cutover. This includes live message capture from your source system, conformance mapping, interface build, regression testing against your actual message samples, and a controlled parallel run before full cutover.
Yes. We specialize in legacy migration from Mirth Connect, Rhapsody, Cloverleaf, Aculab, and Axolot Connect — preserving all existing interface logic, conformance profiles, and custom Z-segment transformation rules with full regression testing before cutover. Zero message loss guaranteed.
We back every production interface with a 99.97% uptime SLA — fewer than 10 minutes of unplanned downtime per month across the entire interface estate. 24/7 monitoring, automated alerting, dead-letter queue with retry logic, and on-call HL7 engineering support are included in every production engagement.
Yes. We deliver full-spectrum interoperability — HL7 v2.x interface development, FHIR R4/R5 transformation, SMART on FHIR application development, and CDS Hooks integration — from a single engineering team. No need to coordinate between separate HL7 and FHIR vendors.
We maintain active Z-segment libraries for 14 EHR vendors — including 100+ Epic Z-segments and 25+ Cerner Z-segments — with full FHIR extension mapping for each. Every engagement begins with live message capture from your actual environment to document non-standard usage before writing a single line of integration code.
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