Advinow
It's an AI-driven healthcare platform that automates patient engagement and consultation processes, helping healthcare providers deliver efficient, on-demand services.
View Case StudyMost healthcare cloud vendors hand you a dashboard and a support ticket queue. We run your AWS, Azure, or GCP environment as an extension of your team, with HIPAA and HITRUST CSF controls embedded into every deployment, not audited after the fact.
Trusted by industry leaders
Legacy EHR and on-prem migration
Zero-downtime cutover planning
Workload-by-workload risk mapping
Post-migration validation testing
24/7 monitoring and incident response
Patch management and version control
Backup and disaster recovery
Capacity planning and autoscaling
HIPAA, HITRUST CSF, SOC 2 controls
PHI encryption at rest and in transit
Role-based access and audit logging
Continuous compliance monitoring
AWS, Azure, and GCP environments
Hybrid on-prem to cloud bridging
Cross-cloud workload portability
Vendor lock-in risk reduction
HL7 and FHIR R4 data exchange
Epic, Cerner, and third-party EHR support
Telehealth and RPM platform connectivity
API gateway management
PHI-aware workload tagging
Reserved instance and rightsizing strategy
Department-level spend visibility
Compliance-linked cost reporting
Get a free infrastructure review from our healthcare cloud team before you migrate another workload.
Request a Free ReviewYour EHR vendor wants you on their cloud. Your CFO wants lower infrastructure spend. Your compliance officer wants every workload mapped to HIPAA and HITRUST CSF controls before it goes live. Most teams end up choosing whichever vendor solves the loudest problem first, then spend the next two years untangling the consequences.
The real issue is not which cloud you pick. It is that 73 to 89 percent of healthcare organizations now run multiple clouds or hybrid environments, and most managed service providers are only built to support one. When your healthcare IT consulting team has to coordinate AWS for one workload, Azure for Epic, and an on-prem instance for legacy billing, fragmented vendor support becomes its own operational risk.
We manage across AWS, Azure, and GCP from a single operations team, so your infrastructure decisions are driven by what each workload actually needs, not by which platform your MSP happens to specialize in.
A reference architecture built around how patient data actually moves through your systems, not a generic cloud template.
Native support for Epic on Azure, Cerner, and other major EHR platforms, including HL7v2 and FHIR R4 data exchange without building a custom persistence layer from scratch.
Cloud infrastructure sized for video session load and remote monitoring data ingestion, with autoscaling tuned to patient visit patterns instead of flat capacity.
Managed API gateways for lab systems, pharmacy platforms, and payer connections, with audit logging on every PHI-touching request.
Hybrid architecture that keeps on-prem systems operational during phased migration, so nothing goes dark mid-transition.
Most cost-optimization vendors look at usage. Most compliance vendors look at controls. Healthcare needs both looked at together, because an unused instance is also an unmonitored attack surface, and a misconfigured workload is also wasted spend.
Every workload is tagged for PHI exposure before cost decisions get made, so rightsizing never strips away a required control.
We model patient volume and seasonal load to lock in reserved pricing instead of paying on-demand rates for predictable workloads.
Finance and compliance see the same dashboard, broken down by department and workload, not a single opaque monthly bill.
Cost reports map directly to HITRUST CSF control evidence, so the same data serves your CFO and your next audit cycle.
Pricing depends on infrastructure complexity, the number of integrated systems, and which HITRUST assurance tier your organization needs to meet.
| Scope | Complexity | Estimated Monthly Cost | Typical Timeline |
|---|---|---|---|
|
Single-cloud managed ops, one EHR integration |
Low |
$3,000 to $8,000
|
4 to 6 weeks setup
|
|
Multi-system migration, HITRUST e1 alignment
|
Medium
|
$8,000 to $20,000
|
2 to 4 months
|
|
Multi-cloud, EHR + telehealth + RPM integration
|
High
|
$20,000 to $50,000
|
4 to 6 months
|
|
Enterprise health system, HITRUST r2, multi-facility
|
Very High
|
$50,000+
|
6 to 12 months
|
We map your current environment against HIPAA and HITRUST CSF requirements, identifying which workloads carry PHI, which controls are missing, and where cost is being wasted on idle or oversized resources before any migration plan is written.
Our cloud architects design a workload-by-workload migration sequence, choosing AWS, Azure, or GCP based on what each system actually needs, including EHR connectivity, disaster recovery requirements, and existing vendor relationships your team has already invested in.
Migrations happen in phases with rollback points at each stage, using our Secure ADLC methodology so encryption, access controls, and audit logging are built into the deployment pipeline rather than added after systems go live.
Once live, we provide 24/7 monitoring, patch management, and incident response, with compliance checks running continuously instead of as a once-a-year audit scramble that catches drift too late.
On a recurring cycle, we review spend against actual usage and compliance posture together, rightsizing workloads, renewing reserved capacity, and updating control mapping as HITRUST requirements evolve.
Infrastructure and HITRUST readiness review with a prioritized findings report.
Full migration execution followed by ongoing managed operations and support.
Complete outsourced cloud function across multi-cloud environments.
Monthly costs typically range from $3,000 for single-cloud managed operations to $50,000+ for enterprise multi-cloud environments at HITRUST r2 scale. Get a complexity-based estimate for your environment.
| Factor | Single-Cloud MSP | Citrusbug Multi-Cloud Management |
|---|---|---|
|
Platform coverage
|
One provider (AWS, Azure, or GCP)
|
AWS, Azure, and GCP under one team
|
|
EHR vendor flexibility
|
Limited to platform compatibility
|
Architecture chosen per workload need
|
|
Vendor lock-in risk
|
High
|
Low, workload portability built in
|
|
Incident escalation
|
Single vendor support queue
|
Unified team, no cross-vendor handoff
|
|
Cost optimization scope
|
Within one platform only
|
Cross-cloud spend comparison
|
Compliance and security checks are embedded into our deployment pipeline from day one, not bolted on after migration, reducing the gap auditors usually find first.
We run AWS, Azure, and GCP environments under one operations team, so your architecture decisions are not constrained by what a single-platform vendor knows.
You receive full ownership of infrastructure-as-code and configuration scripts at delivery, with no proprietary lock-in to our tooling.
Every engagement starts with a full workload and compliance audit before any migration plan is written, so estimates reflect your actual environment.
Senior cloud architects scope and lead your engagement directly, not a generalist account manager handing off to a junior team.
L1, L2, and L3 support options continue after migration, so monitoring and incident response do not end when the project closes out.
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Read Article →Yes. We support Epic on Azure and AWS, Cerner, and other major EHR platforms, using HL7 and FHIR R4 for data exchange during and after migration.
e1 (essentials) alignment can take 4 to 8 weeks. i1 or r2 certification, which require deeper assessment, typically takes 4 to 9 months depending on environment complexity.
Yes. We build hybrid architectures that bridge on-prem and cloud systems during phased migration, so legacy systems stay operational until cutover.
Our initial assessment identifies existing gaps and prioritizes remediation before migration, so you are not moving misconfigured workloads to a new environment.
We manage AWS, Azure, and GCP under one team, and many of our healthcare clients run workloads across more than one platform simultaneously.
Critical incidents are triaged within the SLA tier you select at engagement start, with L1 through L3 escalation paths defined before go-live, not negotiated during an outage.