Source-grounded guide to cloud-native health workflow orchestration across DICOM, HL7 v2, FHIR, AWS HealthImaging, AWS HealthLake, Step Functions, transactional outbox, saga recovery, unified worklists, teleradiology, AI review, and Australian digital-health controls.
Build the mental model for why imaging enterprises need a workflow control plane above PACS, RIS, and point integrations.
Trace how DICOM, HL7 v2, FHIR, and IHE profiles combine to carry order, encounter, study, and report context.
Understand the scheduled imaging workflow from order placement through Modality Worklist population and study acquisition fidelity.
Learn how order-less point-of-care imaging is captured, reconciled, and folded back into the longitudinal patient record.
Design event-driven ingestion, efficient header parsing, import validation, and clinical normalization pipelines.
Model healthcare workflow state explicitly with Step Functions, callbacks, retries, and distributed fan-out.
Compare choreography and orchestration, use transactional outbox, and design compensation-driven recovery for durable clinical workflows.
Route studies to the right clinician using credential-aware matching, load signals, and unified worklist design.
Deliver image data securely to remote readers with DICOMweb, OIDC, edge acceleration, and zero-footprint viewing.
Add AI triage, summarization, and automation without losing reviewer accountability or release control.
Cover eventing, audit evidence, failure budgets, resilient operations, and long-term image lifecycle management.
Map privacy, sovereignty, Healthcare Identifiers, and My Health Record obligations into the orchestration design.
Validate your knowledge across orchestration models, standards, routing, operating controls, and Australian digital-health requirements.