Healthcare Interoperability v3.2.1 Stable HIPAA Compliant

DICOM-FHIR Realtime Pipelines

Sub-second ingestion, validation, and transformation of medical imaging data into HL7 FHIR R4/R5 resources. Engineered for clinical workflows, AI/ML training, and longitudinal research at scale.

<85ms Avg Latency
50K+ Studies / Hour
99.99% Uptime SLA
DICOMweb + FHIR Dual Protocol

Pipeline Architecture

Modular, event-driven architecture designed for horizontal scaling and zero-downtime deployments across hybrid cloud environments.

01

Ingestion Gateway

DICOM C-STORE, WADO-RS, STOW-RS, and MQTT endpoints with TLS 1.3 & mTLS auth.

02

Validation & Tagger

DICOMDIR validation, SOP Class verification, de-identification, and PHI tagging.

03

FHIR Mapping Engine

Automatic generation of ImagingStudy, Series, Instance, Observation & DiagnosticReport.

04

Realtime Stream

Kafka/Pulsar event bus with schema registry, partitioning, and exactly-once delivery.

05

Consumer APIs

REST, GraphQL, and Webhooks for EHRs, PACS, AI inference engines, and analytics dashboards.

Core Capabilities

Built for enterprise healthcare environments requiring strict governance, high throughput, and clinical accuracy.

โšก Sub-100ms Transformation

Parallelized DICOM tag extraction and FHIR resource generation with intelligent caching and connection pooling.

๐Ÿ”„ Bidirectional Sync

Supports STOW-RS (Store over REST) and native DICOM C-STORE fallback with automatic retry and idempotency keys.

๐Ÿ” Smart De-identification

Configurable PHI redaction profiles, DICOM tag scrubbing, and k-anonymity enforcement for research datasets.

๐Ÿ“Š Audit & Lineage

Immutable audit trails, resource versioning, and full provenance tracking from modality to consumer application.

๐Ÿง  AI/ML Optimized

Precomputed segmentation masks, radiomics features, and batch export formats for PyTorch/TensorFlow pipelines.

๐ŸŒ Multi-Region Deployment

Geo-redundant architecture with local data residency controls, cross-region failover, and edge caching support.

Technical Specifications

Integration details, supported standards, and sample payload structure.

๐Ÿ“ฆ FHIR Resource Output (Sample)

// POST /fhir/R4/ImagingStudy { "resourceType": "ImagingStudy", "id": "aezum-img-8f3a2c1", "status": "completed", "subject": { "reference": "Patient/1928374" }, "series": [ { "identifier": { "value": "1.2.840.113619.2.55.3.12345" }, "modality": { "coding": [{ "system": "http://dicom.nema.org/resources/dicom/2013/characteristics/SOPClass", "code": "CT" }] } } ] }

๐Ÿ“‹ Supported Standards

Category Specification Status
FHIR Version R4, R4B, R5 โœ… Full
DICOM Protocols C-STORE, WADO-RS, STOW-RS, QI-RS โœ… Full
IHE Profiles SWM, XDS-I, XUCA-I, FHIR-FR โœ… Certified
Auth / Identity SMART on FHIR, OIDC, SAML 2.0 โœ… Supported
Streaming Kafka 3.4+, Apache Pulsar, MQTT 5 โœ… Available

Compliance & Security

Enterprise-grade controls aligned with global healthcare regulations and infrastructure best practices.

๐Ÿ”’

HIPAA & HITECH

BAA available, ePHI encryption at rest & in transit

๐ŸŒ

GDPR / Data Residency

Region-locked deployments, DSR automation

๐Ÿ›ก๏ธ

HITRUST & SOC 2 Type II

Annually audited, zero-trust architecture

๐Ÿ”‘

FIPS 140-2 / AES-256

Hardware-backed KMS, HSM integration

๐Ÿ“œ

Immutable Audit Logs

WORM storage, tamper-evident chaining

Deployment Options

Flexible infrastructure models to match your security, latency, and compliance requirements.

Managed Cloud

Fully hosted on AWS/GCP/Azure with automatic scaling and patching.

  • Pay-per-study pricing
  • Auto-scaling to 100K+ hrs
  • 90-day retention included
  • Dedicated VPC peering
3.

Edge Modality

Lightweight agent for on-site conversion at scanner level.

  • Docker / Containerd
  • <4GB RAM footprint
  • Batch & real-time modes
  • Offline queueing

Ready to Integrate?

Access sandbox environments, download SDKs, or schedule an architecture review with our healthcare integration engineers.