AWS HealthImaging challenges - AniketDani/Amazon-Web-Services GitHub Wiki

⚠️ Technical Challenges DICOM Compatibility & Legacy Systems

Integrating AWS HealthImaging with legacy PACS systems can be complex due to variations in DICOM implementations and proprietary workflows. Latency-Sensitive Workloads

Real-time image retrieval for diagnostic use requires ultra-low latency. Ensuring consistent performance across regions and networks can be challenging. Data Ingestion at Scale

Migrating millions of DICOM studies from on-prem to AWS requires robust pipelines, parallel processing, and error handling. AI/ML Integration Complexity

Building end-to-end pipelines that connect HealthImaging with SageMaker or Bedrock for inference and report generation involves orchestration, data normalization, and compliance checks. 🔐 Security & Compliance Challenges HIPAA & PHI Management

Ensuring all services are HIPAA-eligible, encrypted, and auditable is critical. Misconfigurations in IAM or S3 policies can lead to compliance risks. Access Control Granularity

Implementing fine-grained access for radiologists, researchers, and external collaborators requires careful IAM and resource policy design. Auditability & Logging

Maintaining detailed logs for every image access and modification is essential for compliance and forensic analysis. 🧩 Operational & Organizational Challenges Change Management

Clinicians and radiologists may resist changes to familiar workflows. Training and UX design are key to adoption. Cost Visibility & Optimization

Without proper tagging, monitoring, and lifecycle policies, imaging workloads can incur unexpected costs. Interoperability with EHRs

Integrating imaging data with FHIR-based EHR systems (e.g., via Amazon HealthLake) requires mapping, transformation, and synchronization logic.