Interoperability foundation
FHIR, DICOM, OMOP, identity and terminology services connect records, imaging, labs, devices and research data.
Healthcare
Connect health data, analytics and AI with safety and human sign-off.
We design interoperable architectures for care, research, imaging, operations and health technology while preserving clinical context, traceability, privacy and lifecycle control.
What we bring
Capabilities built for operating reality.
Technology, methods and governance are designed as one system with clear ownership, evidence and feedback.
Clinical and operational analytics
Governed data products support pathway, capacity, quality, research and service decisions.
Medical AI lifecycle
Data provenance, evaluation, subgroup performance, monitoring, change control and human sign-off shape deployment.
Privacy-preserving collaboration
Federated and controlled analytical patterns reduce exposure while supporting multi-party research and evidence.
Our solution architecture
Technology depth, shown in operating context.
Each visual is paired with the part of the solution it supports, connecting production technology, system boundaries, controls and operating evidence.
Interoperability layer
Identity, terminology, FHIR, DICOM and OMOP connect care records, imaging, laboratories, devices and research context.
Clinical and operational data products
Governed datasets support pathways, capacity, quality, research and service decisions with provenance.
Medical AI lifecycle
Intended use, dataset lineage, subgroup evaluation, human sign-off, monitoring and change control shape deployment.
Workflow integration
Recommendations enter clinical and operational workflows through explicit review, escalation and fallback paths.
Privacy-preserving collaboration
Controlled environments, federated methods and privacy-enhancing technologies reduce unnecessary data exposure.
Safety and evidence
Risk files, validation, security, audit and post-deployment evidence support accountable health technology operations.
Reference architecture
A connected production flow.
The architecture makes responsibilities, interfaces, decision points and operating evidence visible from source to outcome.
Sources
EHR, imaging, lab, device, research and operations.
Interoperate
Identity, terminology, FHIR, DICOM and data models.
Govern
Quality, consent, privacy, lineage and access.
Analyze
Clinical, operational, research and AI workloads.
Act
Workflow integration, human sign-off and monitoring.
Standards and governance
Methods anchored in durable frameworks.
Standards are applied according to scope, system layer and jurisdiction. They inform architecture and controls without being presented as certification claims.
FHIR R5, DICOM and OMOP 5.4
Interoperability and common data models connect care, imaging and research contexts.
ISO 13485, ISO 14971 and IEC 62304
Quality, risk and software lifecycle disciplines support medical-technology development.
IEC 81001-5-1 and ISO 27799
Health-software security and health-information protection inform system design and operation.
Evidence of value
Measure the system, not one model score.
Evaluation combines business outcome, system quality, operating reliability and governance evidence.
Clinical quality
Sensitivity, specificity, calibration, subgroup performance and safety events.
Workflow value
Turnaround time, workload, adoption, availability and outcome relevance.
Data trust
Interoperability success, terminology quality, provenance, privacy and audit completeness.