Clinical Workload Assessment
Classifies EHR and imaging workloads by cloud fit.
Healthcare Cloud Migration Services That Keep Care Running
Phased EHR, imaging, and clinical workload migration to AWS, Azure, or GCP — HIPAA-compliant, rollback tested.
Talk to Migration ExpertsTrusted by startups and global leaders
Healthcare Cloud Migration Services
HIPAA-compliant, reversible cloud migration with zero care disruption.
Clinical Workload Assessment & Migration Strategy
TCO analysis, PHI dependency mapping, and phased planning around clinical downtime windows.
EHR & EMR Migration
Epic, Cerner, Athena, and custom EHR moves with rehost, replatform, or refactor paths.
Medical Imaging & PACS Migration
Petabyte-scale DICOM archives moved to cloud PACS with sub-second study retrieval.
Clinical Data Migration & Validation
Zero-loss PHI transfers with HL7 and FHIR mapping plus record-level integrity checks.
Legacy Hospital Server Migration
On-prem data centers retired in phases, keeping 24/7 clinical systems available throughout.
Hybrid & Multi-Cloud for Health Systems
Data-residency-aware architectures across AWS, Azure, and GCP for multi-site networks.
HIPAA & HITRUST Compliance Controls
Zero-trust access, PHI encryption in transit and at rest, and audit trails from day one.
Post-Migration Optimization & Support
Performance tuning and cost control so clinician-facing systems stay fast and predictable.
AI-Driven Migration Capabilities
AI-driven dependency discovery, PHI classification, and risk prediction.
Integration Dependency Mapping
Maps HL7, FHIR, and DICOM interface dependencies.
Predictive Risk & Clinical Impact Analysis
Forecasts cutover risk to clinical availability.
Smart Cost Optimization Modeling
Right-sizes imaging storage and clinical compute.
Performance Benchmarking & Monitoring
Benchmarks chart load times against on-prem baselines.
Automated Testing & PHI Validation
Reconciles migrated PHI field by field against source.
Business Impact and Results
Measurable results from real healthcare cloud migrations.
AI-Enabled Practice Management System
Built an AI-first EHR with ambient clinical scribe, smart ICD-10/CPT code suggestions, and automated claim pipeline — so clinicians focus on patients, not paperwork.
Result
70%
Reduction in Charting Time
3x
Patient Throughput Increase
AI-Driven Legal Case & Document Management
Delivered an AI-powered legal platform with jurisdiction-aware contract drafting, OCR intelligence, and automated compliance scoring across U.S. and Mexican frameworks.
Result
60%
Faster Drafting & Review
40%
Admin Workload Reduction
AI-Driven Social Media Personalization
Built an AI-first social platform with hybrid recommendation engine, real-time toxicity detection, and BERT/GPT sentiment analysis for safer, more relevant communities.
Result
70%
Engagement Improvement
95%+
Harmful Content Detection
Predictive Analytics & Crypto Trading
Developed an autonomous trading system combining LSTM price prediction, TensorFlow sentiment analysis, and XGBoost signal enhancement with automated risk management.
Result
<5%
MAPE for Predictions
15%
Monthly ROI Improvement
Deep Learning for Brain MRI Segmentation
Built a 3D U-Net segmentation engine with hybrid Dice + Focal loss, FastAPI real-time inference, and MLflow monitoring for continuous clinical performance.
Result
90%+
Dice Segmentation Accuracy
60%
Radiologist Review Time Reduction
AI-Powered Workforce & Shift Management
Delivered an AI-driven workforce platform with predictive conflict resolution, GPS-verified attendance, multi-view scheduling, and AI-generated onboarding content.
Result
45%
Scheduling Efficiency
2M+
Employee Interactions Managed
Computer Vision for AI Avatar Segmentation
Built a hybrid YOLO + U-Net architecture with dynamic scaling algorithms and GPU-accelerated PyTorch inference for real-time avatar segmentation and virtual try-ons.
Result
97%
Segmentation Accuracy
40%
User Engagement Increase
From the Desk of Our Esteemed Clients
VP
Co-founder, Next Education
"
We were looking for an agency that would understand the direness of our workforce scheduling challenges when we came across Bonami Software. What we liked about the team is how they did not just understand what we were looking for but also gave us ideas on how we could make the process more efficient and simplified for our users through their empathy mapping skillset.
"
Rahul Khurana
Chief Executive Officer, Accounting Firm
"
We came to Bonami software looking for a change in the conventional system where patients had to depend on call bells for getting assistance. The team, however, advised us feature additions that would make the solution truly all-patients inclusive. They made our product more innovative and useful than we had envisioned.
"Migration Tooling and Cloud Platforms We Use
Tooling built for clinical data, not just servers.
AWS
Migration Hub, DMS, App2Container, and HealthLake for clinical workloads.
Azure
Azure Migrate, Data Factory, and App Service for enterprise cutovers.
Google Cloud
Cloud Migrate, Dataflow, and Anthos for containerized clinical apps.
Kubernetes
Orchestration for migrated clinical services and interface engines.
Docker
Containerized, repeatable deployments of every migrated workload.
Terraform
Infrastructure as code so each landing zone is provisioned identically.
Ansible
Configuration management and repeatable cutover runbooks.
Jenkins
Build and release automation for post-migration delivery pipelines.
GitLab CI/CD
Pipelines that ship EHR integrations safely after the move.
Azure DevOps
Work tracking and release management across phased migration waves.
Informatica
Clinical data migration, profiling, and quality validation at scale.
Talend
ETL pipelines for moving and reconciling structured clinical data.
VMware
HCX and vRealize for lifting existing hospital VM estates to cloud.
ServiceNow
Discovery and CMDB mapping of every application before we move it.
Datadog
Unified monitoring across on-prem and cloud during parallel runs.
New Relic
Application performance baselines before and after each cutover.
Prometheus
Metrics collection for migrated clinical services and pipelines.
Grafana
Migration dashboards leadership and clinical ops watch in real time.
Splunk
Audit logging and HIPAA-aligned event analysis post-migration.
Check Point CloudGuard
Cloud workload protection for PHI-bearing environments.
Palo Alto Prisma
Cloud security posture management across AWS, Azure, and GCP.
Aqua Security
Container and Kubernetes security for migrated clinical services.
Qualys
Continuous vulnerability scanning of migrated cloud infrastructure.
Zscaler
Zero-trust access to clinical systems from every hospital site.
70%
of Cloud Migration Projects Face Delays
Usually From Undiscovered Clinical Dependencies.
Before you move a single record, we map your EHR, imaging, and interface estate and score the clinical risk of each cutover. You get a phased plan that protects PHI and keeps care running.
Assess Your Cloud Readiness
Our Process
Our Healthcare Cloud Migration Process
Clinical systems cannot go dark. Our phased methodology validates every workload before cutover and keeps a rollback path open at each stage.
We inventory EHR modules, imaging archives, ancillary systems, and every HL7 or FHIR interface between them. Dependency mapping, TCO analysis, and clinical risk scoring produce a migration plan grounded in your actual estate.
We design the target cloud architecture and sequence workloads by clinical criticality. Cutover windows are planned around real utilisation data so patient-facing systems move during your lowest-demand periods.
A compliant landing zone comes first: PHI encryption, IAM and role-based access, network segmentation, and audit logging. Controls are configured and evidenced before a single record moves.
Workloads move via rehost, replatform, or refactor depending on their clinical role and technical debt. Integration endpoints are rebuilt and tested so downstream systems never see a gap.
PHI, DICOM studies, and structured clinical records transfer with record-level reconciliation against source systems. Nothing is signed off until counts, checksums, and field mappings all match.
We validate clinical workflows end to end, then tune until chart loads and study retrieval beat pre-migration benchmarks. Security posture is re-tested against HIPAA and HITRUST requirements.
Cutover runs with clinical stakeholders on call and a tested rollback ready. We monitor the first care cycles live and hold hypercare until the floor confirms normal operations.
After go-live we handle performance tuning, storage tiering, and cost management. Ongoing modernization turns the migrated estate into a platform for AI and analytics work.
01
Discovery & Clinical Readiness Assessment
We inventory EHR modules, imaging archives, ancillary systems, and every HL7 or FHIR interface between them. Dependency mapping, TCO analysis, and clinical risk scoring produce a migration plan grounded in your actual estate.
02
Migration Strategy & Architecture Planning
We design the target cloud architecture and sequence workloads by clinical criticality. Cutover windows are planned around real utilisation data so patient-facing systems move during your lowest-demand periods.
03
Landing Zone & HIPAA Control Setup
A compliant landing zone comes first: PHI encryption, IAM and role-based access, network segmentation, and audit logging. Controls are configured and evidenced before a single record moves.
04
Application & Infrastructure Migration
Workloads move via rehost, replatform, or refactor depending on their clinical role and technical debt. Integration endpoints are rebuilt and tested so downstream systems never see a gap.
05
Clinical Data Migration & Validation
PHI, DICOM studies, and structured clinical records transfer with record-level reconciliation against source systems. Nothing is signed off until counts, checksums, and field mappings all match.
06
Testing & Performance Optimization
We validate clinical workflows end to end, then tune until chart loads and study retrieval beat pre-migration benchmarks. Security posture is re-tested against HIPAA and HITRUST requirements.
07
Go-Live & Cutover Management
Cutover runs with clinical stakeholders on call and a tested rollback ready. We monitor the first care cycles live and hold hypercare until the floor confirms normal operations.
08
Post-Migration Support & Modernization
After go-live we handle performance tuning, storage tiering, and cost management. Ongoing modernization turns the migrated estate into a platform for AI and analytics work.
Frequently Asked Questions
[ 1 ]
What are healthcare cloud migration services?
Moving clinical apps, PHI, and infrastructure from on-premise data centers to the cloud — assessment through cutover.
[ 2 ]
How do you avoid downtime for clinical systems?
Phased migration by clinical criticality, with parallel runs, tested rollback, and cutovers in low-demand windows.
[ 3 ]
Is PHI protected throughout the migration?
Yes. Encryption, role-based access, and audit logging are evidenced before any record moves, under a signed BAA.
[ 4 ]
Can you migrate our EHR without replacing it?
Usually yes. Epic, Cerner, Athena, and custom EHRs can be rehosted with workflows and configurations intact.
[ 5 ]
How do you handle medical imaging and PACS archives?
DICOM archives move to tiered storage — active studies stay fast, retrieval benchmarked against your PACS.
[ 6 ]
What happens to our HL7 and FHIR interfaces?
Every HL7 and FHIR interface is mapped during assessment, then rebuilt and validated before cutover, not after.
[ 7 ]
How do you validate that no clinical data was lost?
Record-by-record reconciliation — counts, checksums, and field mapping must match before sign-off.
[ 8 ]
How long does a health system migration take?
Typically 3-12 months by estate size, EHR complexity, and imaging volume — delivered in phases, not big-bang.
[ 9 ]
Do you support hybrid and multi-cloud for multi-site networks?
Yes. Hybrid keeps chosen workloads on-premise; multi-cloud spans AWS, Azure, and GCP for resilience.
[ 10 ]
What support do you provide after go-live?
Hypercare through the first clinical cycles, then ongoing tuning, storage tiering, and cost management.
Global presence
