Healthcare Cloud
Cost Governance
EHR cloud migrations, medical imaging archives, clinical AI infrastructure, and telehealth platforms. Healthcare cloud spend is growing faster than any other sector.
EHR Cloud Migration Economics
The move from on-premise EHR to cloud is the largest infrastructure investment most health systems will make this decade.
Epic on Cloud
Epic Systems running on Azure, AWS, or GCP. Hosting costs, data replication, disaster recovery, and performance tuning for the platform that powers over 250 million patient records.
Oracle Health (Cerner)
Oracle Health cloud migration economics. Evaluating the total cost of moving from on-premise Cerner to Oracle Cloud Infrastructure including data migration, integration, and ongoing operations.
EHR Data Warehouse Cost
Clinical data warehouses, analytics platforms, and reporting infrastructure. The storage and compute cost of making EHR data queryable for research, operations, and regulatory reporting.
Interoperability Infrastructure
FHIR APIs, HL7 integration engines, and health information exchange (HIE) platforms. The cost of making patient data flow between systems, providers, and payers.
Medical Imaging Storage
Radiology, cardiology, pathology, and dermatology all generate massive imaging datasets that must be stored, accessed, and retained for years.
PACS Cloud Migration
Picture Archiving and Communication Systems hold petabytes of diagnostic images. Cloud migration decisions involve storage tiering, retrieval latency, and compliance with retention requirements.
DICOM Storage Economics
DICOM files range from kilobytes to gigabytes per study. Storage cost governance must account for hot, warm, and cold tiers based on clinical access patterns and legal retention periods.
3D and AI-Enhanced Imaging
3D reconstructions, AI-assisted detection, and quantitative imaging require significant compute. Governing the GPU and storage cost of next-generation imaging workflows.
Vendor Neutral Archive (VNA)
Consolidating imaging data from multiple departments and modalities into a single archive. The cost of normalization, deduplication, and long-term management across enterprise imaging.
Clinical AI Inference Infrastructure
Every AI model deployed in a clinical setting carries compute cost that scales with patient volume.
Diagnostic AI Inference
Running AI models for radiology reads, pathology analysis, and clinical decision support in production. Cost per inference, GPU utilization, and model versioning economics.
Training Pipeline Cost
Model training, fine-tuning, and validation on clinical datasets. GPU cluster cost, data preparation, annotation labor, and the iterative expense of improving clinical AI performance.
Edge vs Cloud Deployment
Clinical AI can run at the edge (in the operating room, at the imaging device) or in the cloud. Each deployment model carries different cost, latency, and compliance tradeoffs.
Telehealth Platform Scaling
Post-pandemic telehealth is permanent infrastructure. Cost governance must scale with adoption.
Video Infrastructure Cost
Real-time video encoding, WebRTC infrastructure, recording storage, and bandwidth cost. Scaling telehealth platforms from hundreds to millions of visits per year.
Remote Patient Monitoring
IoT device data ingestion, time-series storage, alerting infrastructure, and integration with clinical workflows. The cost of continuous patient monitoring at scale.
Digital Therapeutics Platform
FDA-cleared digital therapeutics applications require clinical-grade infrastructure. Compliance, uptime guarantees, data security, and patient engagement features all carry cost.
Patient Portal Operations
Authentication, scheduling, messaging, records access, and payment processing. The operational cost of patient-facing digital experiences that must be always available.