Nine Years.
One Specialisation.
Healthcare IT.
While others claim to do everything, we've spent nine years going deep on one industry. Every engineer at NKORR understands DICOM, HL7, PACS workflows, and clinical data — not as a side skill, but as their primary domain.
Medical Imaging, PACS & VNA
Enterprise imaging is our deepest practice area, spanning diagnostic viewers, archives, interoperability, and workflow intelligence.
Built over nine years working alongside global healthcare giants across imaging-heavy product environments.
We design, build, and support full-stack PACS and VNA platforms from the ground up, and extend existing ones with zero-footprint viewers, advanced visualisation modules, and AI-powered diagnostic layers.
- PACS platform engineering (viewer, worklist, routing, prefetch)
- VNA (Vendor Neutral Archive) — DICOM-compliant storage & retrieval
- Zero-footprint web viewers and mobile diagnostic apps
- Advanced Visualisation — 3D/4D MPR, MIP, volume rendering
- AI integration into diagnostic workflows (CAD, detection, triage)
- DICOM conformance statements and interoperability testing
Clinical Systems — HIS, EMR & RIS
We work where operational healthcare systems meet interoperability, workflow reliability, and patient data continuity.
Experience building and extending systems that move patient, study, report, and operational data through the clinical workflow without breakage or loss.
Healthcare facilities run on interconnected systems: Hospital Information Systems, Electronic Medical Records, and Radiology Information Systems. We build, integrate, and extend these platforms using standard protocols, ensuring data flows correctly across the clinical workflow without breakage or data loss.
- HIS module development — admissions, billing, scheduling, discharge
- EMR & EHR system development and customisation
- RIS — worklist management, report generation, scheduling
- HL7 v2 / v3 message parsing, routing, and transformation
- FHIR R4 API development and SMART on FHIR integration
- IHE profile implementation (XDS, PIX, PDQ, RAD, IT Infrastructure)
AI & Machine Learning for Healthcare
Clinical AI succeeds only when model performance, workflow fit, and trust all hold up in production.
Built for real hospital workflows rather than benchmark-only demos, with validation and integration considered from the start.
We've built clinical AI that actually works in production — not demos. From mammography AI for early cancer detection to TB screening algorithms used in real hospital workflows, our teams understand the difference between a model that scores well on a benchmark and one that a radiologist trusts.
- Deep learning model development for radiology & pathology
- AI-powered mammography & TB screening
- Medical data annotation — radiology, OCT, and histopathology
- Model validation and regulatory-ready documentation (IEC 62304)
- AI platform integration into PACS & VNA workflows
- Federated learning and privacy-preserving AI architectures
Mobile Health & Patient Platforms
Patient-facing products need to balance clinical usefulness, product simplicity, privacy, and platform requirements.
Mobile health platforms built across the USA, Europe, and India for connected care, monitoring, and coordination use cases.
We've built mobile health platforms across the USA, Europe, and India — apps that connect patients with clinicians, enable remote monitoring, and manage care coordination. All built with HIPAA, GDPR, and App Store/Play Store medical app requirements in mind.
- Native iOS and Android healthcare applications
- Cross-platform React Native & Flutter apps
- Patient portal development and FHIR-connected apps
- Remote patient monitoring — wearables integration
- Telemedicine and teleconsultation platform development
- HIPAA-compliant data handling and end-to-end encryption
Cloud & Healthcare Infrastructure
Imaging-heavy cloud environments demand scale, auditability, resilience, and compliance discipline without unnecessary complexity.
Architected for large imaging datasets, hybrid workloads, controlled releases, and business continuity in regulated healthcare settings.
Healthcare workloads have specific requirements — large imaging datasets, strict compliance, high availability, and auditability. We architect and operate cloud infrastructure on AWS, Azure, and GCP that meets these demands without over-engineering.
- Cloud-native DICOM storage and retrieval pipelines
- Hybrid cloud architecture for imaging-heavy workloads
- Compliant infrastructure — BAA, SOC 2, HIPAA, ISO 27001
- CI/CD pipelines for medical device software (IEC 62304 aligned)
- Containerisation and Kubernetes orchestration for healthcare services
- Disaster recovery and business continuity planning
QA, V&V & Managed Support
Regulated healthcare systems need evidence, traceability, and support models that hold up after release.
Focused on validation discipline, regression confidence, interoperability testing, and sustained support for live clinical systems.
Medical device software cannot fail silently. We provide ISO 13485-aligned verification and validation, automated test frameworks purpose-built for healthcare systems, and L2/L3/L4 managed support to keep production systems stable and compliant year-round.
- Verification & Validation (V&V) per IEC 62304 and ISO 13485
- Test automation — Selenium, Cypress, Robot Framework, Playwright
- DICOM conformance and interoperability regression testing
- L2/L3/L4 managed support with defined SLAs
- Production incident response and root cause analysis
- Continuous monitoring, alerting, and performance tuning
We Speak the Language of
Healthcare IT
These aren't just acronyms we list on a page. They're standards our engineers work with every day in client codebases across three time zones.
The global standard for medical image storage, transmission, and display. We implement DICOM services — Store, Query/Retrieve, Worklist, Print, SR — across PACS and VNA platforms.
The messaging standard that connects HIS, RIS, LIS, and EMR systems. We parse, route, and transform HL7 messages including ADT, ORM, ORU, MDM, and SIU message types.
The modern REST-based standard for health data exchange. We build FHIR servers, SMART on FHIR apps, and FHIR-based patient portals — and migrate legacy HL7 v2 systems to FHIR.
IHE profiles define how healthcare systems should implement standards to achieve interoperability. We implement XDS, PIX, PDQ, RAD, and IT Infrastructure profiles across integration projects.
NKORR is certified to ISO 13485:2016. This means our QMS, development processes, and supplier management meet the requirements for organisations involved in medical device software development.
The standard for medical device software development lifecycle processes. We follow IEC 62304 for development planning, architecture, unit testing, system testing, and V&V documentation.
Looking for a healthcare IT partner
with real domain depth?
Tell us about your project. We'll tell you honestly whether and how we can help.