HL7 & FHIR Integration Services

Interoperability That Actually Works

Custom HL7 v2 and FHIR integration — interface development, HL7-to-FHIR transformation, interface-engine implementation, and EHR, lab and imaging connectivity. HIPAA-compliant, for hospitals, EHR vendors, labs and digital-health companies.

Reliable partner

Experienced team

Smart solutions

Case Study

“Only 27% of routinely interoperable hospitals sent electronic summary-of-care records to external post-acute providers.” — HIMSS

Most healthcare data still stops at the organization's edge, so we build the interfaces that move it, because interoperability in healthcare fails at the seams, not in the standards.

HL7 v2 messaging

An HL7 message carries clinical and administrative data between systems. HL7 version 2 remains the backbone of hospital interfaces, and HL7 v2.x message types still move most clinical traffic.

HL7 v3 and CDA

HL7 v3 and CDA or CCDA documents structure healthcare records for exchange, sitting alongside messaging rather than replacing it.

FHIR

The FHIR standard is the modern, API-based approach from HL7 International. FHIR resources and FHIR APIs let healthcare apps read and write data over the web.

Zoolatech quickly delivers senior engineers through rigorous multi-stage screening and global sourcing, ensuring only high-performing, project-ready talent joins your team.

1 month

To fill a position

60%

Senior developers

1M

Global talent pool

98%

Client Retention Rate

300+

Successful Projects

HL7 interface development

Build and maintain the HL7 interface set that connects your systems, from a single feed to a full estate.

FHIR API development

Expose FHIR APIs and build a FHIR server or facade, with SMART on FHIR authorization where apps need it.

HL7-to-FHIR transformation

Map HL7 and CCDA to FHIR resources so modern healthcare applications can consume legacy data.

Interface engine work

Implement or extend Mirth Connect, Rhapsody, or Cloverleaf, or build custom where an engine falls short.

EHR and EMR integration

Connect Epic, Oracle Health, and other electronic health record systems through supported standards.

Lab and imaging

Integrate LIS, RIS, and PACS so orders and results flow without manual entry.

Medical data integration

Deliver HL7 data integration and middleware across clinical, financial, and operational systems.

Support and monitoring

Monitor interfaces in production, because integration allows nothing to break silently.

AI-assisted integration

Use AI to accelerate mapping, validation, and documentation across large interface estates.

Managed delivery

Run the program through managed delivery, team extension, or a dedicated team.

HL7 v2 messages

Transport and security

Documents

FHIR

The working standard

HL7 version 2 messages carry most clinical traffic, and each message type serves a purpose.

Message types: ADT for admissions and transfers, ORM for orders, ORU for results, SIU for scheduling, MDM for documents.
Segments: each HL7 message is built from segments and fields, which is where mapping accuracy is won or lost.

How messages travel

HL7 v2 moves over MLLP, and protecting it in transit is part of HL7 compliance.

MLLP over TLS: messages are encrypted in transit so electronic health information stays protected.
Reliability: acknowledgements, retries, and queuing keep healthcare data exchange from dropping messages.

v3, CDA, and CCDA

HL7 v3 and CDA structure documents rather than messages, and both still appear across US healthcare.

CCDA: summary documents exchanged between organizations and used for regulatory reporting.
Conversion: CDA and CCDA are common inputs when you integrate HL7 data into a FHIR store.

The modern API

The FHIR specification defines resources and a REST API, which is why new digital health products start here.

Resources: FHIR resources model patients, encounters, observations, and more as addressable objects.
REST and OAuth: FHIR APIs use HTTPS with OAuth 2.0, and SMART on FHIR for app authorization.

“In the case of Zoolatech, it's a very tight partnership.

The team at Zoolatech is incredibly collaborative, and we work as a team despite being thousands of miles away from each other.”

Spencer Rascoff

CEO Match Group

5/5

“Zoolatech has been a key technology partner for Pandora,

enhancing our software development and deployment capabilities. They're ambitious, supportive, fast-moving, and well-skilled, with sound ethical values.”

Erika Romsics

Contract and Vendor Manager, Pandora

5/5

“The apps they’ve developed give us the opportunity to get more customers.

We’re providing more services to target big customers. We can install jobs faster and identify reduce bottlenecks, so we’re providing a better customer experience.”

Aida Youssef

Senior Director of Software Engineering, Complete Solaria

5/5

“Zoolatech has access to a deep talent pool and knows how to identify client's needs.

With the help of Zoolatech, went from a very early and incomplete prototype to the MVP release, the first production release, and the first paying customer!”

Greg Wagenhoffer

CEO, GreenVisr

5/5

“Zoolatech enabled us to build a world-class engineering team quickly and efficiently.

Zoolatech's pre-screening process and engineer training are customized for providing effective engineers that can contribute immediately to accelerating product roadmaps.”

Shariq Minhas

CTO, SVSG

5/5

“We can recommend Zoolatech

for their talent pool, attention, ability to understand our requirements, candidate screening process and constant communication.”

Chaitanya Pallapothula

SVP, Tailored Brands, Inc.

5/5

“Zoolatech’s developers quickly became an integral part of our team effort

with whom we shared daily stand up calls. Overall, Zoolatech fit well with our needs for agile development and continued to adapt as our needs evolved.”

Forrest Glick

UX Designer, Stanford University

5/5

“Working with Zoolatech has been a driving force in our business offerings.

The team utilizes it's experience and expertise meshing with our internal team creating a positive work environment. Zoolatech is by far one of the best teams to work with in the industry.”

Kris Naidu

CEO, Zeacon

5/5

Mapping

We map HL7 v2 messages, and CDA or CCDA documents, to the equivalent FHIR resources, then validate that no clinical meaning is lost.

Transformation layer

Messages are parsed and converted in flight, so a FHIR API can serve modern apps while legacy interfaces keep running untouched.

Coexistence

Most organizations run both for years. We design for coexistence so v2 and FHIR stay consistent rather than drifting apart.

AI-assisted mapping

Large estates involve thousands of fields, so we use AI to draft and check mappings, with engineers reviewing every result.

Use an interface engine

Mirth Connect, Rhapsody, Cloverleaf, and Iguana manage many standard interfaces centrally.

Fast for standard feeds
Central monitoring
Familiar to healthcare IT
Licensing and engine limits

Build custom

Custom integration or a pipeline on top of an engine handles what the engine cannot.

Complex transformation
FHIR APIs and cloud scale
No feature ceiling
You own the logic

“71% of hospitals routinely had outside clinical information available, but only 42% said clinicians often used it.” — National Library of Medicine

Delivering a message is not the same as delivering usable data, so we map and normalize to the receiving system's workflow, because data no one can act on is data no one trusts.

TEFCA and QHINs

USCDI

CMS and Cures

HIPAA and security

Nationwide exchange

TEFCA and its QHINs create a common path for nationwide exchange, which changes how health systems connect to each other.

Participation: connecting through a QHIN so you can exchange health records beyond your own network.
Architecture: integrations designed so joining a network does not mean rebuilding every interface.
Onboarding: mapping your existing feeds to the framework’s requirements before you go live on the network.

What must be shared

USCDI defines the data classes and elements that must be available, setting the floor for health data interoperability.

Coverage: mapping your data to USCDI classes so required elements are actually present and populated.
Validation: checking that exchanged data meets the specified level of data completeness.
Versioning: tracking USCDI updates so your interfaces stay current as new data classes are added.

The mandates

CMS interoperability rules and the 21st Century Cures information-blocking rule require organizations to share electronic health information.

Patient access: FHIR APIs that let patients and approved apps retrieve their records.
Prior authorization: API-based workflows that meet the CMS prior-authorization requirements.
Information blocking: exchange designed to avoid the practices the Cures Act prohibits.

Protecting the data

Every interface carries protected health information, so security is designed in rather than added afterward.

In transit: MLLP over TLS for messaging and HTTPS with OAuth 2.0 for FHIR.
Access and audit: role-based access and audit logging across every integration point.
At rest: protected health information encrypted in storage, not only while it moves between systems.

HL7 to FHIR pipelines

Move data continuously

Streaming ingestion of HL7 feeds with tools like Kafka
Transformation into FHIR resources in flight
Hundreds of pipelines managed as one estate
Batch and real-time paths side by side

Managed cloud FHIR

Store it in the cloud

AWS HealthLake as a managed FHIR store
Azure Health Data Services for device and FHIR data
Scale without running the plumbing yourself
Cost and performance tuned to your volumes

AI on clinical data

Where AI earns its place

AI-assisted mapping across large interface estates
AI extraction of structure from unstructured notes and documents
AI validation that flags malformed or suspicious messages
Governed AI, documented and monitored, with clinicians in the loop

Observability

See every message

Monitoring and alerting on interface health
Dashboards for throughput, latency, and errors
Message-level tracing for fast diagnosis
Data quality checks before anything reaches analytics

Analytics handoff

Turn feeds into insight

Normalized clinical data delivered to the warehouse
Integration with our healthcare data analytics practice
Reporting on data integration across systems
AI and ML models trained on consistent, governed data

Orders and results

EHR to LIS integration sends orders and returns results, the highest-volume feed in most hospitals and the one clinicians notice first when it breaks.

Imaging and documents

EHR to RIS and PACS connects imaging orders, reports, and studies, so radiology findings reach the chart without a manual step.

ADT, billing, and devices

ADT feeds keep every downstream system current, billing integration turns clinical events into claims, and device and RPM data flows in through the same standards.

Hospitals and health systems

Health systems connect their EHR, hospital information system, and departmental software, and modernize aging interfaces without disrupting care.

EHR and healthtech vendors

Vendors building healthcare apps get the FHIR APIs and interface work their customers demand, so integration stops blocking deals.

Labs, imaging, and payers

Labs, diagnostics, imaging centers, and payers exchange orders, results, and claims data reliably across organizational lines.

Step 1

Discovery

We map your systems, message types, standards, and any interface engine already in place. This is where integration challenges surface early, so scope reflects the real estate rather than an assumption.

Step 2

Interface design

We design each interface and the transformation it needs, deciding where an engine fits and where custom code is the better answer. Good design here is what keeps the estate maintainable later.

Step 3

Build and map

We build the interfaces and the mappings, including HL7-to-FHIR transformation where it applies, with AI assisting on large field sets and engineers reviewing every mapping.

Step 4

Test and validate

We test with real message samples, validate against the standard, and check security end to end. Integration testing catches the edge cases that would otherwise surface in production.

Step 5

Deploy

We cut over carefully, running old and new in parallel where risk demands it, so clinical operations never wait on an interface.

Step 6

Monitor and extend

We monitor interfaces in production and add new ones as your estate grows, because implementing HL7 is an ongoing program rather than a one-time project.

Mirth Connect

HL7

FHIR

Apache Kafka

AWS HealthLake

Azure Health Data Services

Java

Python

PostgreSQL

Docker

Kubernetes

Grafana

Databricks

and other

Proof in Clinical Data at Scale

Named data, streaming, and platform work, measured by what it delivered rather than promises.

View Case Studies

Built API-driven integrations across a fragmented digital healthcare ecosystem.

Delivered streaming and Azure data work, modernizing how a life sciences leader handles its data.

Redesigned a clinical data platform, proving depth with sensitive data at scale.

Modernized legacy clinical software for a global dental maker, upgrading API and authentication layers.

Interfaces and systems

A single interface between two systems is a small project. Connecting many healthcare information systems across departments is a program.

Standards involved

HL7 v2 only, FHIR only, or both changes the work. Supporting both, plus CDA documents, adds mapping and testing.

Engine or custom

Implementing an interface engine differs from building custom integration, and licensing shifts cost from build to run.

Migration and cloud

HL7-to-FHIR migration, cloud FHIR stores, and pipeline work each add scope. A precise estimate follows a discovery phase that maps your systems and message types.

HL7 and FHIR together

We work across HL7 v2, v3, CDA, and FHIR, so we recommend the standard that fits the job rather than the one we prefer.

Migration expertise

HL7-to-FHIR transformation is engineering, not configuration, and we build the mapping and validation that keeps clinical meaning intact.

Engine-neutral

We implement Mirth Connect and other engines, and we build custom where engines fall short, so the recommendation is not a sales position.

Data engineering depth

Real streaming and big-data experience means interface estates that scale, with observability so no message disappears quietly.

AI where it helps

We apply AI to mapping, validation, and document extraction, governed and reviewed, so AI speeds the work without risking accuracy.

Compliance built in

TEFCA, USCDI, CMS rules, and HIPAA shape the design from the start, so compliance is not a retrofit.

Senior-heavy delivery

A senior team that has delivered 300+ projects since 2017, with 600+ engineers and 96% client satisfaction, does the work.

Near and offshore

A Miami HQ with delivery centers in Poland, Ukraine, Mexico, and Turkey gives you scale through managed delivery, team extension, or an ODC.

Need HL7 or FHIR integration?

Tell us your systems, standards, and whether you run an interface engine, and we scope an approach.

Contact Sales

Explore All Services

Custom software development

Custom middleware and healthcare software around your interfaces.

Cloud development services

Managed cloud FHIR stores and scalable integration infrastructure.

AI and ML services

AI for mapping, extraction, and validation across clinical data.

Quality assurance services

Integration testing and security validation before go-live.

Legacy application modernization

Modernize aging interfaces and legacy clinical systems.

Team extension services

Senior integration engineers embedded in your team.

Software and technology

Platform and API engineering that keeps distributed services and data in sync as usage scales.

Retail

Commerce systems that keep checkout, inventory, and supplier data aligned across every sales channel.

Fintech

Secure financial data exchange, compliance controls, and transaction processing built for high-volume workloads.

Healthcare

Clinical and patient software built for HIPAA, with HL7 and FHIR interoperability designed in.

Telecom

Subscriber, billing, and network systems integrated to stay reliable at national subscriber scale.

Energy

Operational data joined across field service, infrastructure monitoring, and control systems in real time.

Travel

Booking, reservation, and loyalty systems joined across every step of the customer journey.

Logistics

Supply chain systems that coordinate shipments and keep tracking data visible across distribution networks.

E-Commerce

Digital commerce solutions supporting customer experiences, transactions, and operational efficiency.

Improving Oncology Platform Usability

Usability and consistency

improved across oncology platforms for simpler use.

Data visualization

enhanced across oncology platforms to provide clearer insights.

Unified Inventory UI Modernization

~45% faster

delivery with standardized UI components.

~90% less

design debt thanks to a unified component system.

At Zoolatech, we create engineering teams for industry leaders across the US and Europe — teams that move fast, think big, and deliver strong impact.

96%

Client Satisfaction

300+

Successful Projects

2017

Year Founded

98%

Retention Rate

At Zoolatech, we create engineering teams for industry leaders across the US and Europe — teams that move fast, think big, and deliver strong impact.

Engineering Excellence. Every Time.

At Zoolatech, we create engineering teams for industry leaders across the US and Europe — teams that move fast, think big, and deliver strong impact.

600+

Employees

Headquarters

USA

Development Centers

Need HL7 or FHIR Integration

Tell us your systems, the standards involved, and whether you run an interface engine, and we scope an approach.

Latest Insights on Our Industry Recognition

All articles about our awards

Questions You May Have

What is HL7?

Health Level 7 is a family of standards for exchanging clinical and administrative data between healthcare systems, maintained by Health Level Seven International. According to HL7, the standards cover v2 messaging, v3 and CDA documents, and FHIR.

What are the benefits of HL7 integration?

The benefits of HL7 are fewer manual steps, faster results, and consistent healthcare records across systems. HL7 provides a shared data exchange standard, so different healthcare information systems exchange data without custom one-off formats.

What is the difference between HL7 v2 and FHIR?

HL7 v2 is a mature messaging standard that still runs most hospital interfaces, while the FHIR standard uses web APIs and reusable resources. Most organizations use the HL7 v2 estate internally and expose FHIR APIs externally.

What is an HL7 interface engine, and do I need Mirth or custom integration?

An engine receives, transforms, routes, and sends messages, and options include Mirth Connect, Rhapsody, Cloverleaf, and Iguana. An engine suits many standard feeds, while custom integration handles complex transformation, FHIR APIs, and cloud scale.

How do you migrate from HL7 v2 to FHIR?

Migration maps HL7 v2 messages, and often CDA or CCDA, to FHIR resources, then validates that nothing is lost. It runs as a transformation layer, so you adopt FHIR for new healthcare apps while legacy interfaces keep running.

What is interoperability in healthcare?

Data interoperability is the ability of different systems to exchange and correctly use data, defined by standards such as HL7, FHIR, and USCDI. Frameworks like TEFCA, plus CMS rules and the Cures Act, require exchanging electronic health information.

How does HL7 integration work?

A sending system emits an HL7 message that travels over MLLP, usually secured with TLS, to an engine or integration service, where it is validated, transformed, and delivered. FHIR-based integration works similarly but uses REST APIs and resources.

What are common HL7 integration challenges?

Vendor-specific message variations, inconsistent data formats, and undocumented legacy interfaces cause most delays. Good HL7 integration strategies start with a system map and validation, so problems surface in testing rather than in production.

Can AI help with HL7 and FHIR integration?

Yes. AI accelerates mapping across large field sets, extracts structure from unstructured documents, and flags malformed messages for review. AI assists engineers rather than replacing review, because clinical data accuracy is not negotiable.

How much does HL7 or FHIR integration cost?

Cost depends on the number of interfaces and systems, whether you use HL7 v2, FHIR, or both, whether you build custom or implement an engine, and whether you migrate to FHIR. A precise estimate follows discovery.

Is HL7 integration HIPAA compliant and secure?

It has to be, because interfaces carry protected health information. HL7 v2 travels over MLLP secured with TLS, FHIR APIs use HTTPS with OAuth 2.0 and SMART on FHIR, and access is role-based and audit-logged.

Do you provide HL7 integration services in the USA?

Yes. We serve US healthcare organizations from our Miami headquarters, with delivery centers in Poland, Ukraine, Mexico, and Turkey. Engagements run as managed delivery, team extension, or a dedicated team.

HL7 & FHIR Integration Services

Industry Leaders We Work With

Explore the Wider Healthcare Practice

“Only 27% of routinely interoperable hospitals sent electronic summary-of-care records to external post-acute providers.” — HIMSS

What HL7 Is and How FHIR Fits

HL7 v2 messaging

HL7 v3 and CDA

FHIR

1 month

60%

1M

HL7 Integration and Implementation Services

98%

300+

HL7 interface development

FHIR API development

HL7-to-FHIR transformation

Interface engine work

EHR and EMR integration

Lab and imaging

Medical data integration

Support and monitoring

AI-assisted integration

Managed delivery

HL7 Standards and Message Types

The working standard

How messages travel

v3, CDA, and CCDA

The modern API

Map Your Interfaces

What Our Customers Say

Moving From HL7 v2 to FHIR

Mapping

Transformation layer

Coexistence

AI-assisted mapping

Interface Engine or Custom Integration

Use an interface engine

Build custom

“71% of hospitals routinely had outside clinical information available, but only 42% said clinicians often used it.” — National Library of Medicine

Interoperability Rules and Compliance

Nationwide exchange

What must be shared

The mandates

Protecting the data

Modern Pipelines, Cloud, and AI

Move data continuously

Store it in the cloud

Where AI earns its place

See every message

Turn feeds into insight

Common Integration Use Cases

Orders and results

Imaging and documents

ADT, billing, and devices

Built for Everyone Connecting Clinical Systems

Hospitals and health systems

EHR and healthtech vendors

Labs, imaging, and payers

From System Map to Live Interfaces

Discovery

Interface design

Build and map

Test and validate

Deploy

Monitor and extend

The Integration Stack

Proof in Clinical Data at Scale

What Drives Cost and Timeline

Interfaces and systems

Standards involved

Engine or custom

Migration and cloud

Integration Engineering, Not Just Connectors

HL7 and FHIR together

Migration expertise

Engine-neutral

Data engineering depth

AI where it helps

Compliance built in