Cloud sprawl
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Healthcare & Life Sciences · Hyperscaler Orchestration
Multi-cloud orchestration for Healthcare
Run EHR, imaging, and clinical analytics workloads across Azure, AWS, and private cloud from a single control plane — with cost, performance, and compliance governed by policy for Healthcare.
340+
Healthcare cloud migrations delivered
99.99%
Uptime SLA for clinical systems
65%
Lower per-sample compute cost for genomics pipelines
18mo
Average EHR modernisation timeline
Challenges we solve for Healthcare
Inconsistent governance
Every EHR, imaging, and clinical analytics workloads environment is configured differently, creating risk and audit gaps.
Slow provisioning
Standing up new environments for patient intake, scheduling, and claims administration takes weeks instead of hours.
Residency constraints
Workloads must respect HIPAA, ISO 27001, and local health-data regulation on where data and compute are allowed to run.
How we help Healthcare
Landing zones by design
Secure, compliant landing zones tuned to HIPAA, ISO 27001, and local health-data regulation, deployed as code.
Workload placement
Place EHR, imaging, and clinical analytics workloads on the right cloud automatically based on cost, latency, and residency.
FinOps governance
Unified cost visibility and guardrails that stop cloud spend from drifting.
Resilient by default
Multi-region failover and automated recovery built into every environment.
Use cases for Healthcare
Multi-cloud landing zones
Policy-compliant landing zones for Healthcare deployed as code in hours, not weeks.
Automated workload placement
Route EHR, imaging, and clinical analytics workloads to the optimal cloud by cost, latency, and data residency.
Real-time FinOps
Live spend visibility and guardrails across every Healthcare cloud account.
Our approach
01
Assess
We map your current patient intake, scheduling, and claims administration estate and benchmark it against hyperscaler orchestration best practice for Healthcare.
02
Architect
We design a target architecture for hyperscaler orchestration, aligned to HIPAA, ISO 27001, and local health-data regulation from day one.
03
Implement
We deliver in secure, iterative increments — proving value on a focused use case before scaling across Healthcare.
04
Operate & optimise
We run, monitor, and continuously improve the platform, with governance and reporting built in.
Outcomes we deliver
40%
Lower cloud run-rate
3x
Faster environment provisioning
99.99%
Platform availability
Proof points
40%
Cloud spend reduced
A Healthcare organisation cut cloud run-rate by orchestrating EHR, imaging, and clinical analytics workloads across providers.
3x
Faster delivery
Environment setup for patient intake, scheduling, and claims administration dropped from weeks to hours with landing zones as code.
Cloud Platforms
AWS, Azure & GCP — Fitment for Healthcare
Each hyperscaler brings distinct strengths. Our practice spans all three, with Healthcare-specific architectures under each platform.
AWS — Market Leader
Amazon Web Services
AWS is best for healthcare organisations requiring mature HIPAA-eligible services, broad medical imaging tooling, and global reach for multinational life sciences data pipelines.
EKSSageMakerS3 Data LakeAuroraKinesisLambdaRedshift
Azure — Enterprise First
Microsoft Azure
Azure is best for NHS-aligned trusts and enterprise health systems already invested in Microsoft 365, Teams-based telehealth, and Dynamics-integrated patient engagement workflows.
AKSAzure OpenAISynapsePower BIPurviewAzure ArcCosmos DB
GCP — AI & Data Native
Google Cloud Platform
GCP is best for life sciences organisations running large-scale genomics, clinical ML, and real-world evidence workloads that demand BigQuery's analytical power and Vertex AI's model training infrastructure.
BigQueryVertex AILookerSpannerDataflowAnthosPub/Sub
Application Landscape
Healthcare applications that benefit most from cloud
The workloads our clients migrate first for maximum return.
Electronic Health Record (EHR/EMR)
Core longitudinal patient record systems requiring 24/7 availability, strict role-based access, and audit trails. Cloud migration unlocks elastic scaling for peak admission periods and unified access across care settings.
Medical Imaging & PACS
Picture Archiving and Communication Systems generate petabytes of DICOM data annually. Cloud-native PACS reduces on-premises storage costs while enabling AI-assisted diagnostics at the point of read.
Clinical Decision Support (CDS)
Rules-based and ML-driven alerting systems that surface drug interactions, deterioration risk scores, and diagnostic suggestions within the clinical workflow. Requires low-latency integration with EHR APIs.
Telehealth & Virtual Care Platforms
Video consultation, remote monitoring dashboards, and asynchronous messaging tools that extend care beyond the physical site. Must satisfy HIPAA, GDPR, and local data-residency rules for patient communications.
Laboratory Information Systems (LIS)
Manages specimen tracking, test ordering, and result reporting across pathology and clinical labs. Cloud deployment enables real-time result syndication to multi-site EHR environments.
Claims & Revenue Cycle Management
End-to-end payer-provider claims processing, prior-authorisation automation, and denial-management workflows. Cloud platforms reduce reconciliation cycle times and expose analytics for revenue leakage identification.
IoMT & Connected Device Management
Fleet management, firmware update distribution, and continuous telemetry ingestion for connected devices including infusion pumps, ventilators, and wearable monitors. Requires segmented, auditable network architecture.
Genomics & Precision Medicine Pipelines
Variant calling, annotation, and cohort analysis workloads that process whole-genome sequencing datasets at scale. Managed cloud HPC clusters reduce per-sample compute costs by up to 60 per cent versus on-premises.
Clinical Trial & Research Data Platforms
eClinical data capture, patient randomisation, and multi-site trial monitoring platforms requiring validated environments, 21 CFR Part 11 compliance, and auditable change control across the trial lifecycle.
S&M Cloud Models
Deployment architectures
Proven cloud models calibrated to the topology, sovereignty needs, and operational realities of Healthcare.
AWS-Led Model
For Healthcare organisations with diverse workloads, multi-region operations, and complex data pipelines — with AWS as the primary cloud.
- ▸EKS-based microservices for core platforms
- ▸Managed streaming for real-time event data
- ▸SageMaker for predictive and generative ML
- ▸S3 data lake with governed analytics
- ▸Global edge delivery for low-latency APIs
Azure-Led Model
Best for Healthcare teams running SAP, Microsoft Dynamics, or needing tight Microsoft 365 and Power Platform integration.
- ▸AKS for containerised workloads
- ▸SAP on Azure migration pathway
- ▸Synapse Analytics for enterprise BI
- ▸Azure OpenAI for document and process automation
- ▸Power BI dashboards across the estate
GCP-Led Model
Optimal for data-intensive, AI-first Healthcare operations — analytics, ML, and forecasting at scale.
- ▸BigQuery for petabyte-scale analytics
- ▸Vertex AI for model training and serving
- ▸Looker for executive dashboards
- ▸Anthos for multi-cloud portability
Hybrid Model
When edge or on-premise systems need low latency while analytics live in the cloud — with data sovereignty enforced across jurisdictions.
- ▸Edge nodes for latency-sensitive workloads
- ▸Selective workload placement by data classification
- ▸Burst to cloud for peak demand
- ▸On-prem data for residency compliance
- ▸Multi-cloud for vendor risk mitigation
Sovereign / On-Premise
For strict data-residency regimes or classified workloads requiring dedicated, audited, or air-gapped infrastructure.
- ▸Sovereign data centre with cloud-equivalent services
- ▸Customer-held encryption keys
- ▸Dedicated or air-gapped environments
- ▸Continuous, audit-ready compliance evidence
- ▸Co-location with direct cloud interconnects
Migration Roadmap
Typical migration lead time
A structured 16–24 week programme, scaled to estate complexity and regulatory requirements.
- Weeks 1–3
Discovery & Assessment
Application inventory, dependency mapping, data classification, TCO modelling, and workload scoring across the 6 Rs for Healthcare.
- Weeks 4–6
Architecture & Landing Zone
Target architecture, cloud landing zone, network topology, IAM framework, security baseline, and compliance control mapping.
- Weeks 7–10
Pilot Migration — Wave 1
Migrate 3–5 low-risk workloads to validate tooling, runbooks, and team readiness. Establish FinOps dashboards.
- Weeks 11–18
Core Systems — Wave 2 & 3
Core operational platforms and supporting databases migrate in coordinated waves with cut-over during scheduled maintenance windows.
- Weeks 19–22
Mission-Critical Systems
ERP, financial, and regulatory reporting platforms migrate with parallel-run validation, rollback capability, and 24/7 hypercare.
- Weeks 23–24+
Optimise & Handover
Cost rightsizing, performance tuning, Reserved Instance commitments, and transition to steady-state managed services.
Critical considerations
- Define patient data classification tiers before migration so PHI, de-identified research data, and operational metadata are governed by distinct access policies and encryption boundaries from day one.
- Validate that all cloud regions selected for patient data storage satisfy national health-data residency regulations — including NHS Digital Data Security and Protection Toolkit requirements for UK deployments — before provisioning any production workload.
- Engage clinical informatics and frontline clinical staff early in EHR migration planning to map interface engine dependencies, HL7 FHIR endpoint requirements, and downtime tolerance thresholds for each care pathway.
- Implement a formal medical device security programme covering IoMT network segmentation, device certificate lifecycle management, and incident response playbooks before connecting any clinical devices to cloud-managed infrastructure.
- Establish a business continuity and disaster recovery plan that meets the organisation's Recovery Time Objective for life-critical systems, tested via live failover drills rather than paper exercises, prior to decommissioning any on-premises environment.
Workload Profiles
Healthcare workloads & cloud mapping
How we classify and place each workload by performance, compliance, and cost profile.
| Workload | Type | Platform | Cost | Complexity | Sovereignty |
|---|---|---|---|---|---|
| EHR / EMR Core Application | Clinical / SaaS | Azure | High | High | PHI in-region; BAA/DSP Toolkit required |
| Medical Imaging (PACS/VNA) | Imaging / Storage | AWS | High | High | DICOM residency tied to national regulation |
| Clinical Analytics & BI | Analytics | GCP | Medium | Moderate | De-identified datasets may relax residency |
| Telehealth Video Platform | Clinical / SaaS | Azure | Medium | Moderate | Real-time video may transit regions; review routing |
| Genomics Pipeline (WGS/WES) | ML / HPC | GCP | High | High | Cohort data governed by ethics board |
| IoMT Device Telemetry | Clinical / IoT | AWS | Medium | Moderate | Device streams must not leave national boundary |
| Claims & Revenue Cycle | SaaS / Finance | Azure | Medium | Moderate | Financial PHI subject to payer clauses |
| Clinical Trial Data Platform | Research / Validated | AWS | Low | High | Multi-country trials need per-country partitioning |
Cost Intelligence
High-cost workloads — and how we tame them
A small number of workloads drive most cloud cost. Identifying them early is the highest-ROI action in any programme.
Medical Imaging Storage & Egress
DICOM archives grow at 20–40 TB per year in a mid-sized trust. Tiered storage policies (hot → cool → archive) and regional CDN caching for radiologist access reduce both storage and egress costs significantly.
Genomics Compute Bursting
Whole-genome sequencing pipelines consume thousands of vCPU-hours per cohort run. Spot or preemptible instance strategies with checkpoint-restart tooling can cut per-sample compute spend by up to 65 per cent.
EHR Licence & Integration Middleware
Third-party EHR vendor cloud-hosting fees and interface engine licences often dwarf infrastructure costs. Renegotiating SaaS agreements during migration and adopting FHIR-native APIs can eliminate redundant middleware layers.
Compliance & Audit Tooling Overhead
Continuous compliance monitoring, SIEM log retention for seven-year audit trails, and automated vulnerability scanning add measurable operating cost. Consolidating onto a single cloud-native security platform avoids duplicated tooling spend.
FinOps & Cost Management
Measure, plan, optimise
Cloud cost discipline spanning every part of your Healthcare estate.
Measure
Plan
Optimise
35%
Average cost reduction in the first six months of a structured FinOps programme
60–70%
Compute savings from Reserved Instances once usage baselines are established
90 days
Recommended baseline period before long-term commitments
3 pillars
Inform, Optimise, Operate — the FinOps lifecycle in every engagement
Cloud Risk Management
Managing risk in Healthcare
Cloud risk must account for connectivity constraints, regulatory complexity, and the cost of downtime.
Regulatory
HIPAA / GDPR Breach Exposure
Misconfigured storage buckets, overly permissive IAM policies, or unencrypted data in transit can expose PHI and trigger regulatory penalties reaching millions of pounds. A structured cloud security posture management programme is non-negotiable before go-live.
Operational
Clinical Downtime During EHR Migration
Unplanned outages during EHR cutover can directly impact patient safety, clinical decision-making, and medication administration. Phased migration with parallel-run periods and rehearsed downtime procedures mitigates this risk substantially.
Technical
IoMT Device Vulnerability Exploitation
Legacy medical devices running end-of-life firmware cannot be patched conventionally and present persistent attack surfaces when connected to cloud-managed networks. Network micro-segmentation and compensating controls are essential.
Supply Chain
Third-Party Vendor Lock-In & Data Portability
Proprietary EHR and PACS vendor APIs can restrict data portability, complicating future migrations or multi-cloud strategies. Contractual data-export rights and FHIR R4 interoperability requirements should be embedded in procurement terms.
Managed Services
Managed services for Healthcare
24/7 support across all three hyperscalers after migration, with a sector-specialised delivery team.
Cloud Operations (CloudOps)
24/7 monitoring, incident response, and infrastructure management across AWS, Azure, and GCP.
- ▸Infrastructure monitoring & alerting
- ▸Patch management & compliance
- ▸Capacity management & autoscaling
- ▸Backup & disaster recovery
FinOps & Cost Governance
Ongoing cost optimisation, Reserved Instance management, and monthly FinOps reporting.
- ▸Monthly cost review with dashboard
- ▸Reserved Instance procurement
- ▸Budget alert configuration
- ▸Unit economics reporting
Security & Compliance (SecOps)
Continuous security posture management, SIEM operations, and compliance monitoring.
- ▸Cloud security posture management
- ▸Compliance monitoring
- ▸SIEM operations
- ▸Penetration testing & VAPT
Platform Engineering & DevOps
CI/CD pipeline management, Kubernetes operations, and developer experience tooling.
- ▸Kubernetes / EKS / AKS management
- ▸CI/CD pipeline operations
- ▸Infrastructure-as-Code maintenance
- ▸Developer self-service portals
Analytics & AI Operations
ML model monitoring, data pipeline operations, and BI platform management.
- ▸ML model performance monitoring
- ▸Data pipeline health management
- ▸BI platform support
- ▸Agentic AI platform operations
Network & Connectivity
Connectivity monitoring, WAN optimisation, and edge network management.
- ▸Link performance monitoring
- ▸SD-WAN & edge connectivity
- ▸Direct Connect / ExpressRoute
- ▸Site network infrastructure
Compliance & Sovereignty
Regulatory landscape for Healthcare
Compliance is a cloud architecture requirement, not a post-deployment activity.
HIPAA / HITECH (US)
Requires covered entities and business associates to implement administrative, physical, and technical safeguards for ePHI in cloud environments; cloud providers must sign a Business Associate Agreement (BAA) before any PHI is processed.
UK GDPR & Data Protection Act 2018
Governs processing of patient personal data for UK-based organisations; mandates lawful basis for processing, data minimisation, breach notification within 72 hours, and contractual controls over cloud sub-processors.
NHS Data Security & Protection (DSP) Toolkit
Annual self-assessment framework for NHS organisations and suppliers confirming adherence to the National Data Guardian's ten data security standards, including cloud configuration and staff training requirements.
ISO 27001 / ISO 27799
ISO 27001 provides the overarching information security management system framework; ISO 27799 extends it with health-informatics-specific controls for protecting personal health information across cloud and hybrid environments.
EU Medical Device Regulation (MDR 2017/745)
Software as a Medical Device (SaMD) hosted on cloud infrastructure must demonstrate conformity with MDR requirements including clinical evaluation, post-market surveillance, and traceability of software changes through a validated change-control process.
21 CFR Part 11 (FDA Electronic Records)
Applies to US clinical trial and pharmaceutical manufacturing systems; requires validated cloud environments with audit trails, electronic signature controls, and system access logs to demonstrate regulatory compliance for FDA submissions.
Hybrid Architecture
Hybrid cloud — edge meets hyperscaler
For most organisations, hybrid is the most pragmatic architecture — balancing latency, sovereignty, and scale.
Edge / On-Premise
Latency-sensitive systems, local control, and offline-capable operations close to where work happens.
Sovereign Cloud Region
Core platforms and sensitive data, with residency enforced by jurisdiction and customer-held keys.
Global Cloud (Multi-Region)
Analytics, AI, customer-facing services, and cross-region workloads at hyperscale.
When to choose hybrid
- ▸Legacy clinical systems — such as older PACS servers or on-premises laboratory instruments — cannot be migrated to cloud without prohibitive re-validation costs, so a hybrid architecture extends their lifespan while modernising surrounding workflows.
- ▸Latency-sensitive real-time clinical applications, including intraoperative monitoring and bedside alerting, require local compute to meet sub-100ms response requirements that public cloud regions cannot reliably guarantee across all sites.
- ▸National health-data regulations mandate that raw identifiable patient records remain within a specific country or data centre boundary that is not yet served by a hyperscaler sovereign region, necessitating on-premises or co-located sovereign infrastructure.
- ▸Mergers, acquisitions, or trust consolidations leave organisations managing disparate on-premises EHR environments mid-contract, making a hybrid integration layer the pragmatic bridge until a unified cloud-native platform can be procured and validated.
Hybrid technology stack
- ▸AWS Outposts / Azure Arc / GCP Anthos for edge management
- ▸AWS Greengrass / Azure IoT Edge for edge compute
- ▸Equinix Fabric for dedicated cloud connectivity
- ▸HashiCorp Terraform for unified infrastructure-as-code
- ▸Kubernetes for consistent workloads across sites
Cloud Adoption Readiness
Adoption checklist for Healthcare
Foundational requirements to address before initiating a cloud migration programme.
Strategy & Governance
- Cloud strategy aligned to business objectives
- Executive sponsorship and programme governance
- Cloud Centre of Excellence identified
- TCO model completed and approved
- Hyperscaler selection criteria defined
- FinOps operating model assigned
Application & Data Readiness
- Application inventory with dependencies mapped
- Workloads classified using the 6R strategy
- Data classification and sovereignty tagging
- Legacy system cloud-compatibility assessed
- Data retention schedules aligned to regulation
- Integration catalogue documented
Security & Compliance
- Cyber risk assessment completed
- Data protection impact assessments done
- Data residency requirements mapped
- IAM framework with least-privilege
- Incident response plan updated for cloud
- Third-party security assessments completed
Technical Readiness
- Connectivity bandwidth assessed
- Landing zone architecture approved
- Network connectivity to cloud planned
- Backup, DR, and RTO/RPO targets defined
- CI/CD toolchain assessed
- Monitoring and observability selected
People & Change
- Cloud skills gap assessment completed
- Training roadmap defined
- Change management communication plan
- Frontline team enablement planned
- Managed-services partner identified
Operations
- Resilience design validated
- Data synchronisation strategy defined
- Edge and connectivity strategy confirmed
- Operational runbooks drafted
- Steady-state support model agreed
Procurement Guidance
How to prepare a cloud migration RFP
A well-structured RFP is the foundation of a successful migration partnership. Adapt this template to your organisation.
Sample Cloud Migration RFP
Healthcare cloud transformation — template document
Reference:
Contact: cloud@saintsandmasters.com
Frequently asked questions
Every landing zone enforces HIPAA, ISO 27001, and local health-data regulation through policy-as-code, so residency and controls are guaranteed by default.
Ready to transform Healthcare?
Our specialists will assess your estate, map your regulatory requirements, and present a no-obligation transformation roadmap.