Cloud Services for Healthcare
Healthcare Cloud Infrastructure Built for Compliance, Uptime, and Clinical Workloads
We design, migrate, and manage cloud infrastructure for healthcare organizations — HIPAA-compliant architectures on AWS, Azure, and GCP that handle clinical data volumes, meet uptime requirements for patient-facing systems, and pass the security audits that healthcare demands.
4.9/5Verified rating
300+Clients served
23Products shipped
100+Case studies
Since 2015In production
58%
Healthcare cloud adoption rate (2024)
$680K
Annual infrastructure cost savings
6hr→45min
Disaster recovery time improvement
64%
Imaging storage cost reduction
Cloud infrastructure in healthcare is not a standard IT lift-and-shift project. You are moving systems that contain protected health information, support real-time clinical decision-making, and must maintain availability standards that directly affect patient safety and care delivery. A four-hour outage of a consumer SaaS product is an inconvenience that generates support tickets. A four-hour outage of a clinical system can delay diagnoses, disrupt medication administration, prevent lab result delivery, and force clinicians back to paper-based workflows that introduce safety risks and documentation gaps. At ZTABS, we build healthcare cloud architectures that account for these realities — HIPAA-compliant infrastructure that encrypts PHI at rest and in transit, maintains the comprehensive audit trails regulators require, provides the high availability that clinical systems demand with sub-hour recovery objectives, and delivers it at a total cost of ownership that makes clear business sense compared to the aging data center infrastructure it replaces.
The Healthcare Market
Healthcare cloud adoption reached 58% in 2024 (up from 35% in 2020), but the remaining 42% represents organizations held back by legitimate concerns: regulatory uncertainty about cloud storage of PHI, existing investments in on-premise infrastructure, and the complexity of migrating legacy clinical systems that were never designed for cloud deployment. The trajectory is clear — Gartner projects that 75% of healthcare organizations will be cloud-first by 2027 — but the path from on-premise to cloud is more complex in healthcare than in any other industry.
The three major cloud providers have all invested heavily in healthcare-specific offerings. AWS offers HIPAA-eligible services across 160+ service categories, a Healthcare Accelerator program, and HealthLake (a FHIR-native data store). Microsoft Azure provides Azure Health Data Services (including FHIR, DICOM, and MedTech services), Azure Confidential Computing for sensitive workload protection, and deep integration with Microsoft healthcare products (Teams for Healthcare, Nuance DAX). Google Cloud offers the Healthcare API (FHIR, HL7v2, and DICOM stores), Vertex AI for healthcare ML workloads, and BigQuery for healthcare analytics. Choosing the right provider depends on your existing technology investments, specific workload requirements, and integration patterns.
Hybrid cloud has emerged as the dominant architecture for mid-size and large healthcare organizations. The typical pattern keeps the most sensitive systems (EHR databases, active clinical imaging archives) on-premise or in a private cloud, while moving analytics workloads, development environments, disaster recovery, patient-facing applications, and new development to public cloud. This hybrid approach allows organizations to maintain control over their most critical systems while gaining cloud economics and scalability for everything else.
Disaster recovery and business continuity are non-negotiable requirements. Healthcare organizations must maintain recovery time objectives (RTOs) of 1-4 hours for critical clinical systems and recovery point objectives (RPOs) of 15-60 minutes to avoid clinically significant data loss. Cloud-based DR provides significant cost advantages over traditional secondary data center approaches — organizations typically save 40-60% on DR infrastructure costs by moving from physical standby sites to cloud-based recovery.
Security and compliance in healthcare cloud environments require specific controls beyond standard cloud security best practices. HIPAA requires encryption of PHI at rest (AES-256 for storage) and in transit (TLS 1.2+), access controls with unique user identification, automatic logoff, and audit controls that record all access to PHI. Cloud workloads must operate within HIPAA-eligible services — not all cloud services are covered under the cloud provider's BAA, and using a non-eligible service for PHI-containing workloads creates a compliance violation.
How We Deliver Cloud for Healthcare
Our healthcare cloud engagements follow a four-phase methodology: Assess, Architect, Migrate, and Operate. Each phase has healthcare-specific considerations that distinguish it from standard cloud projects.
During Assessment, we conduct a complete inventory of your infrastructure — servers, applications, databases, storage, network architecture — and classify every workload by data sensitivity (PHI vs. non-PHI), criticality (clinical vs. administrative), migration complexity (cloud-ready vs. requires re-architecture), and regulatory constraints (data residency requirements, specific compliance mandates). This classification determines the migration wave plan and the target architecture for each workload.
Architecture design follows healthcare cloud reference architectures that implement defense-in-depth security. We deploy workloads in isolated Virtual Private Clouds (VPCs) with network segmentation between PHI and non-PHI environments. Identity and access management uses healthcare-specific role mappings — clinical users, administrative users, IT administrators, vendors — with least-privilege access and multi-factor authentication enforced across the board. We implement automated compliance monitoring using tools like AWS Config, Azure Policy, or Google Cloud Organization Policies that continuously check infrastructure configurations against HIPAA control requirements and alert on deviations.
Migration execution follows a wave-based approach, starting with low-risk workloads (development environments, non-PHI analytics, static websites) and progressively moving to higher-complexity systems (clinical applications, imaging archives, database workloads). For database migrations, we use change data capture (CDC) replication that maintains the source database in sync during migration, allowing cutover with minimal downtime and immediate rollback capability if issues arise. For applications that require re-architecture for cloud deployment, we use a strangler fig pattern that incrementally moves functionality from legacy monoliths to cloud-native microservices.
Ongoing operations include 24/7 monitoring with healthcare-specific SLAs, automated patching and compliance remediation, cost optimization (right-sizing instances, reserved instance management, spot instance utilization for non-critical workloads), and regular DR testing. We conduct quarterly DR failover tests that validate RTO and RPO compliance and document results for regulatory review. We also perform annual HIPAA security risk assessments of the cloud environment as required under the HIPAA Security Rule.
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Case StudyCommunity hospitals / Health systems
Cloud Migration and Hybrid Architecture for a 300-Bed Community Hospital
The Challenge
A 300-bed community hospital was running its IT infrastructure on aging hardware in an on-site data center with a secondary disaster recovery site 50 miles away. Hardware refresh costs were $1.2 million, the DR site required $340,000 annually to maintain, and the infrastructure team was spending 60% of their time on hardware maintenance rather than strategic projects. The hospital's RTO for critical clinical systems was 6 hours — exceeding their target of 2 hours — because DR failover required manual intervention and the secondary site had insufficient capacity to run all production workloads simultaneously.
Our Solution
We designed and implemented a hybrid cloud architecture on AWS. Clinical systems (Epic EHR databases, Citrix infrastructure for clinical workstations) remained on-premise on refreshed hardware, while 47 additional workloads migrated to AWS — including imaging archives (long-term DICOM storage on S3 Intelligent-Tiering), analytics workloads (Snowflake on AWS for clinical and financial analytics), development and test environments, the patient portal, and all administrative applications. Disaster recovery moved to AWS with automated failover using CloudEndure and multi-AZ deployment for critical workloads. The entire migration was completed in 14 months across 6 migration waves, with zero unplanned clinical downtime during any migration event.
The Results
Annual infrastructure costs decreased by $680,000 (combining the eliminated DR site lease, deferred hardware refresh, and reduced power and cooling costs, offset by AWS consumption). RTO for critical systems improved from 6 hours to 45 minutes through automated cloud-based DR failover. The infrastructure team reallocated 40% of their capacity from maintenance to strategic projects. The cloud environment passed the hospital's annual HIPAA security risk assessment and two payer-required security audits in the first year without findings. Long-term imaging storage costs decreased 64% using S3 Intelligent-Tiering for DICOM archives older than 12 months.
Cloud Capabilities for Healthcare
- ✓Cloud Migration
Migrate from on-premise or legacy hosting to the cloud with zero downtime and minimal disruption.
- ✓Cloud-Native Development
Build applications that fully leverage cloud services — serverless, managed databases, and auto-scaling.
- ✓Multi-Cloud Strategy
Avoid vendor lock-in with architectures that work across AWS, GCP, and Azure.
- ✓Cloud Cost Optimization
Audit and optimize your cloud spend. Reserved instances, spot pricing, and right-sizing to cut costs by 30-50%.
- ✓Cloud Security
IAM policies, encryption, VPCs, and compliance frameworks to protect your cloud infrastructure.
- ✓Managed Cloud Services
24/7 monitoring, maintenance, and optimization of your cloud environment so you can focus on your product.
Cloud Landscape for Healthcare
Healthcare cloud services options include large consulting firms (Deloitte, Accenture, Wipro healthcare cloud practices), cloud-native MSPs with healthcare verticals (ClearDATA, Cloudticity, Datica), and the cloud providers' own professional services teams. Large consulting firms bring deep healthcare expertise but at premium rates ($250-$400/hour) and with multi-year timelines that often exceed the useful life of the technology decisions they are making. Healthcare MSPs provide managed compliance infrastructure and HITRUST-certified hosting but offer limited custom architecture and migration capabilities — they can host your workloads but struggle with the complex migration engineering needed to move legacy clinical systems to cloud without disruption. Cloud provider professional services (AWS Professional Services, Azure FastTrack, Google Cloud Customer Engineering) are technically excellent but vendor-locked by definition — an AWS engagement will never recommend Azure even when Azure Health Data Services is a better fit for your DICOM storage requirements.
ZTABS offers the healthcare compliance expertise of a specialized MSP, the custom architecture and migration engineering capabilities of a cloud consulting firm, and the vendor-agnostic perspective to design multi-cloud and hybrid architectures that serve your specific operational requirements — at a fraction of the cost and timeline of a Big 4 engagement.
Cloud Pricing for Healthcare
Healthcare cloud projects range from $75,000 to $350,000+ depending on scope and complexity. Cloud architecture design and compliance documentation (without migration execution) runs $75,000-$120,000 and delivers in 6-10 weeks. Cloud migration with 10-30 workloads typically costs $150,000-$250,000 across 4-8 months, with workloads migrating in planned waves. Enterprise-scale hybrid cloud architectures with 50+ workload migrations, DR implementation, automated compliance monitoring, and managed operations setup run $250,000-$350,000+ across 8-14 months. Ongoing managed cloud operations are available on retainer at $8,000-$25,000/month depending on environment size and SLA requirements, covering 24/7 monitoring and alerting, automated patching, cost optimization reviews, quarterly DR failover testing, and annual security risk assessment support.
Frequently Asked Questions
Common questions about cloud for healthcare
Yes, when configured correctly. AWS, Azure, and GCP all offer HIPAA-eligible services and will execute Business Associate Agreements. The key is ensuring that PHI workloads only use eligible services, that encryption is configured at rest and in transit, that access controls and audit logging meet HIPAA requirements, and that the shared responsibility model is clearly understood — the cloud provider secures the infrastructure, but you are responsible for configuring services correctly and managing access.
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500+
Projects Delivered
4.9/5
Client Rating
90%
Repeat Clients