FHIR R4 — The Production Standard
Required by the 21st Century Cures Act and most national health exchanges — the version your systems must support today.
Award-Winning FHIR Integration Partner
What the FHIR Landscape Looks Like Right Now
R4 is where you must be today, R5 where select use cases are moving, R6 on the horizon — plan for all three.
FHIR R5 — Forward-Looking Use Cases
55+ new resources for patient engagement and care coordination — valuable for specific subscription and medication use cases.
FHIR R6 — On the Horizon
Expected late 2026, with some teams moving R4 → R6 directly. We build in a migration path so R6 never forces a rebuild.
What We Build and Implement — Server-Side and Client-Side, R4 and R5
FHIR for health systems, payers, and digital health companies that need to connect to the modern healthcare data ecosystem.
Production R4 server with profiles, SMART auth, and Bulk Data.
Client layer pulling data from Epic, Cerner, Athena, and ABDM.
Subscriptions, medication definitions, and care-coordination resources.
DSTU2 to R4, R4 to R5, or proprietary APIs to standards-based FHIR.
US Core, UK Core, AU Base, ABDM, UAE, and Saudi MOH profiles.
FHIR Server Implementation — Deployed, Hardened and Operated
A FHIR server is the core of any interoperability programme: the system of record that stores, validates and serves FHIR resources over REST. We deploy, extend and operate production FHIR server software on the engines your environment already depends on, then harden it for the scale, profiles and certification you actually have to meet.
Choosing the Right FHIR Server
HAPI FHIR, Microsoft FHIR Server on Azure Health Data Services, Google Cloud Healthcare API, AWS HealthLake and Firely each behave differently under load, on custom profiles and on terminology. We select the FHIR server that fits what you connect to and what you must certify against — not a house default.
What a Production FHIR Server Requires
An accurate CapabilityStatement, the full set of search parameters for every resource you expose, correct pagination, conditional create / update / delete, and $export bulk data with asynchronous job handling. A demo server implements none of these. A production FHIR server implementation has to implement all of them.
Deployment, Scaling and Monitoring
Containerised deployment on HIPAA-eligible infrastructure with a BAA in place, horizontal scaling behind a load balancer, database tuning for resource-heavy queries, and monitoring that alerts you the moment a connected system starts failing conformance.
FHIR Server Migration
Moving from DSTU2 or STU3 to R4, from R4 to R5, or from a proprietary clinical API onto standards-based FHIR. We map the resource and terminology deltas, run old and new in parallel, and cut over only once conformance passes.
Profiles, Terminology and Validation
Your FHIR server validates against the implementation guide you are actually held to — US Core, UK Core, AU Base, India ABDM, UAE or Saudi MOH — with SNOMED-CT, LOINC, ICD-10 and RxNorm validation wired into the terminology service.
Managed FHIR Server Operations
Version upgrades, profile changes, conformance regression testing and round-the-clock monitoring as an ongoing engagement, so the server stays conformant as both the standard and your connected systems move.
The Gap Between Having FHIR and Having FHIR That Actually Works
FHIR is well-specified, but implementation is still hard — this is where the real engineering decisions live.
Every EHR Vendor Implements FHIR Differently
Epic and Cerner are both FHIR R4, yet differ in resources, auth, profiles and extensions — code for one endpoint rarely works on another unchanged.
Legacy Data Does Not Map Cleanly
Older hospital data lives in terminologies that predate FHIR by decades — mapping it to FHIR without losing clinical meaning takes deep expertise.
Security and Consent Are Not Optional
FHIR endpoints need SMART on FHIR auth, scoped access control and consent management done right — done wrong, they are a breach waiting to happen.
Production Scale Is Not a Demo
A server handling 100 test queries behaves nothing like one at millions — indexing, bulk export and subscriptions break only under real production load.
What a Complete FHIR Implementation Includes
A FHIR server is more than an API — production builds handle what real integrations demand.
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Capability Statement & Search Parameters Capability Statement & Search Parameters
Accurate capability statement for your supported profiles, plus correct search parameters for every resource.
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Pagination & Conditional Operations Pagination & Conditional Operations
Correct pagination and conditional create/update/delete — no shortcuts.
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Subscriptions for Real-Time Events Subscriptions for Real-Time Events
Push-based event notifications to connected systems — no polling required.
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Terminology, Provenance & Audit Terminology, Provenance & Audit
Code validation against SNOMED-CT, LOINC, ICD-10, and RxNorm, with provenance and audit tracking.
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Conformance Testing & Monitoring Conformance Testing & Monitoring
Conformance test suite plus monitoring that alerts you when a connected system breaks your integration.
Who This Is For
We build FHIR infrastructure for the organisations the modern healthcare data ecosystem runs on.
Health Systems & Hospitals
R4 endpoints for interoperability rules, national exchanges, SMART on FHIR app access, and payer data sharing.
Payers & Health Plans
FHIR-based member data APIs, patient access endpoints, and prior authorisation workflows that meet CMS rules.
Digital Health Companies
The client that connects your product to EHRs, national exchanges, and patient-held FHIR records.
Government Health Programmes
FHIR servers built to the national IG, at the scale and security national exchanges demand.
National Profiles & Standards — Implemented to the IG, Not Just Base FHIR
We implement to national IGs, plus the security, terminology and exchange standards compliance depends on.
National IGs
Regional Implementation Guides
The profile your market requires for national health-exchange interop.
Security
SMART on FHIR & Access Control
Full SMART framework: OAuth 2.0, scoped tokens, and consent management.
Terminology
Code Systems & Validation
Terminology services validate codes against clinical vocabularies.
Versions
FHIR Versions We Implement
R4 in production, targeted R5 adoption, R6 migration designed in.
Exchange
Networks & Bulk Data
National exchange connectivity and population-scale Bulk Data export.
Regulation
Regulatory Drivers
The mandates that make FHIR non-optional, implemented precisely.
The FHIR Stack We Build On
Production-proven FHIR servers and regulated-cloud infrastructure — chosen for what you connect to.
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HAPI FHIR
M
Microsoft FHIR Server
G
Google Cloud Healthcare API
A
AWS HealthLake
F
Firely / Vonk
H
HL7 FHIR R4
H
HL7 FHIR R5
H
HL7 v2 & v3
D
DICOM
C
CDA / C-CDA
B
Bulk Data Access
S
SMART on FHIR
O
OAuth 2.0
S
Scoped Access Tokens
C
Consent Management
A
AES-256 Encryption
S
SNOMED-CT
L
LOINC
I
ICD-10
R
RxNorm
T
TEFCA / QHIN
C
CommonWell
C
Carequality
D
Direct Trust
I
India ABDM
A
AWS GovCloud
A
Azure Health Data Services
D
Docker / Kubernetes
T
Terraform
M
Monitoring & Alerting
Free Technical Guide — HL7 and FHIR Integration
A 34-page guide to healthcare interoperability from the ground up: what HL7 v2 and FHIR are, how a message becomes a resource, how the integration layer is built, secured and operated, and why it is the foundation for analytics and AI. Written for CTOs, integration architects and product leaders. Download the guide (PDF, 2.9 MB).
The Standards, From First Principles
What healthcare interoperability actually means, the three levels of it, what HL7 v2 and C-CDA are, and what FHIR changes — with a real ADT^A01 message and the FHIR Patient resource it becomes.
HL7 v2 vs FHIR, Compared Properly
Paradigm, interaction, structure, encoding, transport, conformance and developer experience side by side — and why the conclusion is almost never "replace v2 with FHIR".
The PID-to-Patient Map, Field by Field
How each PID field becomes a Patient element, following HL7's published V2-to-FHIR implementation guide — and the six reasons mapping is harder than the diagram suggests.
A Reference Architecture
Six tiers from source systems to consumers: interfaces, integration engine, data platform, access layer. Plus one registration followed end to end through all ten stages.
Thirteen Things That Go Wrong
Z-segments, duplicate patients, terminology gaps, FHIR version drift, silent interface failure — each with why it happens and how to handle it, plus fourteen practices that prevent them.
Security, and Where AI Fits
SMART on FHIR authorisation end to end, the security controls and where each belongs, an honest account of HIPAA — and why every clinical AI programme is downstream of the integration layer.
The Healthcare Data Ecosystem Is FHIR. Your Integration Should Be Too.
R4 today, R5 where it matters, R6 on the horizon — book a consultation and we will scope a production-ready FHIR implementation for your systems.
Book a FHIR Consult
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Frequently Asked Questions
[ 1 ]
What is FHIR and how does it work?
FHIR (Fast Healthcare Interoperability Resources) is an HL7 standard that models clinical data as resources such as Patient, Observation, Condition and MedicationRequest, exchanged over ordinary REST APIs in JSON or XML. Applications read and write those resources against an EHR's FHIR server, using SMART on FHIR for authorization.
[ 2 ]
Should we implement R4, R5, or wait for R6?
R4 is the right choice for production today — it underpins the 21st Century Cures Act, TEFCA QHINs and ONC-certified EHRs. We layer R5 where it helps, designed with R6 migration in mind.
[ 3 ]
What is the difference between HL7 v2 and FHIR?
HL7 v2 is event driven messaging for real time transactions inside a hospital, carried over MLLP. FHIR is a resource based REST API for web style data exchange with external applications. Most health systems run both, so integrations usually need to speak each where it fits.
[ 4 ]
How do you handle variation between different vendors' FHIR implementations?
We maintain an integration library covering the profile variations of major EHR vendors — Epic, Cerner, Athena, Meditech. Your FHIR client is built against how they actually behave, not just the spec.
[ 5 ]
What does SMART on FHIR actually require to implement correctly?
SMART on FHIR is an OAuth 2.0 profile for healthcare — authorisation server, scoped access tokens, launch contexts and token refresh. We implement the full framework, not just the token exchange.
[ 6 ]
What is FHIR bulk data export used for?
Bulk data export, the Flat FHIR $export operation, moves large populations of records at once rather than one patient per call. It is how analytics platforms, quality reporting and payer data exchange pull whole cohorts, and it needs asynchronous job handling and NDJSON processing rather than ordinary REST paging.
[ 7 ]
How long does a production FHIR implementation take?
A focused R4 server for one use case typically takes 8 to 12 weeks. Full infrastructure with bulk data export, SMART on FHIR and national profile conformance is a larger engagement, scoped during discovery.
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