Healthcare data lives in EHRs, lab systems, imaging archives, billing platforms and spreadsheets. We connect them so clinical and operational teams stop copying data between screens.
We design interfaces with real safety thinking: idempotent messaging, reconciliation, terminology mapping, traceability and documentation that stands up to quality and regulatory review.
Integration failures in healthcare are rarely loud. A dropped result, a mismatched identifier or a silently retried order can reach a patient, so our interfaces are built to detect, surface and recover rather than to fail quietly.
Healthcare integration work
Projects in our case studies where new software had to work with existing clinical and research systems.
Telemedicine platform & mobile app
ELEKTRIK team members worked on integrating a national telemedicine platform with EHR systems, payment gateways, insurance verification and prescription workflows, so providers update records and manage prescriptions inside the platform.
Read the Doctor on Demand case study →
Generative AI platform for pharmaceutical R&D
Generative AI embedded into Amgen's existing R&D infrastructure, with compliance steps aligned to FDA and EMA guidance and predictions validated against known outcomes.
Read the Amgen case study →EHR/EMR integration
FHIR APIs, HL7 v2 interfaces, SMART on FHIR apps and vendor-specific adapters.
Interoperability layers
Integration engines, event pipelines, terminology mapping and master-data reconciliation.
Clinical workflow software
Order management, care coordination, referrals and internal clinical tooling.
SaMD & regulated builds
IEC 62304-aligned lifecycle, risk management and documentation support.
Compliant cloud infrastructure
Segmented environments, encryption, access review and monitoring.
Clinical data platforms
Warehouses, de-identification pipelines and reporting for quality and research teams.
Typical healthcare systems integration engagements
Results and orders flow
Lab, imaging and order interfaces that reconcile instead of drifting.
Patient identity resolution
Matching across systems with explicit review queues rather than silent merges.
Digital front door
Scheduling, registration and record access wired into the source systems.
Device and SaMD data
Regulated pipelines from devices and algorithms into the clinical record.
Quality and payer reporting
Extracts and dashboards built from trustworthy, mapped clinical data.
Legacy system bridging
File drops, DB views and interface engines connecting systems with no modern API.
Safety-case thinking
Failure modes, reconciliation and alerting agreed before we write the interface.
Vendor reality, not brochureware
We've worked around closed systems with file drops and DB views when APIs don't exist.
Regulatory artefacts included
IEC 62304 lifecycle documentation your quality team can actually submit.
Operable by your team
Runbooks, dashboards and alerting handed over with the system.
Standards depth
HL7 v2, FHIR R4, DICOM and terminology mapping handled fluently, not learned on the job.
Traceable by design
Every message, transform and decision logged for quality and regulatory review.
How to plan an EHR integration project
EHR integration services succeed or fail on planning. These steps apply whichever integration partner you choose.
Inventory systems, data and owners
List every system involved — EHR, labs, imaging, billing, scheduling — the data that has to move between them, which direction and who owns each system. Most surprises in healthcare systems integration come from a system or owner nobody listed.
Choose HL7 v2, FHIR or both
HL7 v2 messages still carry most real-time hospital traffic such as admissions, orders and results. FHIR APIs suit modern apps that read and write records on demand. Many projects use both: HL7 integration for event feeds and FHIR for app access. Our HL7 vs FHIR guide explains the trade-offs in detail.
Get vendor access early
Epic, Cerner and other EHR vendors have their own sandbox, review and approval processes, and hospitals have their own IT and security reviews. These often take longer than the coding, so start them as soon as the scope is clear.
Design for failure and reconciliation
Interfaces will occasionally receive bad data, duplicate messages or nothing at all. Decide in advance how errors are detected, who is alerted and how records are reconciled, so a dropped result never fails silently.
- How are patients matched across systems?
- What happens to a message that fails validation?
- Who reviews the error queue, and how often?
Test with realistic data and real users
Test against vendor sandboxes and de-identified, production-like data, then pilot with a small group of clinicians before going live everywhere. Healthcare interoperability solutions are only finished when the people using them trust the data.
- Hospital systems
- Digital health
- Medical devices
- Labs & diagnostics
- Payers
- 01Systems inventoryEvery source, message type and owner mapped, with data quality assessed.
- 02Interface designContracts, error handling, reconciliation and safety cases agreed up front.
- 03Build & validateTest harnesses against sandbox and de-identified production-like data.
- 04Cutover & operatePhased go-live, monitoring, alerting and runbooks for your team.
- 05Reconcile & auditOngoing reconciliation checks and audit-trail review after go-live.
- 06Extend the networkAdditional systems, sites and data flows onboarded on the proven pattern.
What are EHR integration services?
Connecting electronic health record systems with the other software a care organization uses — patient apps, labs, billing, scheduling, devices and analytics — so data moves automatically and safely instead of being re-typed.
What is HL7 integration?
Exchanging HL7 v2 messages, the long-established standard hospitals use for admissions, orders, results and other events, usually through an interface engine. We build, map and monitor these interfaces.
Do you offer FHIR integration services?
Yes. We build FHIR R4 integrations and SMART on FHIR apps that read and write EHR data through the vendor's published APIs, including Epic and Cerner.
What are healthcare interoperability solutions?
The integration engines, APIs, terminology mapping and patient-matching rules that let different healthcare systems understand each other's data. We design them with reconciliation and audit trails so errors are caught, not hidden.
We're on a closed legacy system — now what?
We've integrated plenty of them: vendor interface engines, HL7 feeds, database views or file drops, whichever is available and supportable.
Can you support a regulatory submission?
We can produce and maintain the software lifecycle artefacts your quality team needs under IEC 62304.
How do you avoid duplicate patient records?
Deterministic and probabilistic matching with explicit review queues rather than silent merges.
How long does an EHR integration take?
A single well-documented FHIR interface can take weeks; multi-system programs with vendor coordination usually run several months.
Do you work with Epic and Cerner?
Yes, through their published integration paths, plus interface engines such as Mirth and aggregators like Redox where appropriate.
Can you de-identify data for analytics or AI?
Yes. We build de-identification and minimisation pipelines with documented rules and review before any secondary use.
Integration guides and related services
- HL7 vs FHIR: A Practical Integration Guide for EHR ProjectsWhen to use HL7 v2, FHIR or both, with hospital connection patterns and testing.
- The HIPAA-Compliant App Development ChecklistSecurity and privacy controls that integration projects should meet.
- Healthcare Software Development in 2026: The Decision-Maker's Guide to Getting It RightA decision-maker's guide to healthcare software, interoperability and partner selection.
- Medical Software Development Company: The 2026 Guide to Custom Healthcare SolutionsPlatforms, tech stacks and how to choose a medical software partner.
- Healthcare Software DevelopmentCustom patient apps and clinician tools built on top of your integrations.
- TelemedicineTelehealth platforms with EHR, scheduling and prescription workflows.
Healthcare Systems Integration in production
AI matching · Web · Telehealth
Facial recognition · Biometrics · Security
Gen AI · Google Cloud · Chatbot
iOS · Android · Real-time
Connect your clinical systems properly.
Tell us which systems need to talk. We'll map the interfaces, risks and effort.