Cloud Migration · Healthcare Integration

Move faster, spend less, and stop managing infrastructure

Healthcare integrations don’t have to live on aging servers that your team maintains, patches, and worries about. Rhapsody moves your integration environment to the cloud, preserving every interface, without disrupting the clinical workflows that depend
on them.

See how it works

17 yrs

Best-in-KLAS
Integration Engine

1,900+

healthcare organizations served
across 31 countries

AWS

HIPAA-compliant
cloud infrastructure

migrate without the risk

Healthcare integration cloud migration

Healthcare integration cloud migration is the process of moving a health system’s or health tech organization’s integration infrastructure, including FHIR connections, HL7 interfaces, and API-based data flows, from on-premises servers to a cloud-hosted environment. Done well, it cuts infrastructure overhead and frees your integration team to build instead of maintain. Done poorly, interfaces break mid-cutover and clinical teams lose confidence in systems they depend on.

Rhapsody is the most trusted integration platform in healthcare: Best in KLAS every year since 2009, used by more than 1,900 healthcare organizations across 31 countries, and deployed on AWS with cloud infrastructure managed for you.

WHERE MIGRATION GOES WRONG

Healthcare cloud migrations stall at the same pressure points, every time

Most healthcare organizations know they need to move to the cloud. What stops them is the risk, and the lack of a plan that accounts for what actually breaks.

Clinical workflows can’t tolerate downtime
during cutover.

ADT feeds, lab results, and order messaging run continuously, so migrating the engine that processes them takes parallel environments and a zero-gap cutover, not a maintenance window and hope.

Every interface needs to be tested before it’s turned off on-premises.

Moving 200 interfaces to the cloud isn’t complicated by the cloud itself. It’s the edge cases, dependencies, and production behaviors in each interface that only surface under real-world data conditions.

Legacy integration logic is often undocumented.

Interfaces built by people who’ve left carry institutional knowledge that isn’t written down anywhere. A migration surfaces what’s missing, usually at the worst
possible moment.

Cloud infrastructure requires expertise your integration team doesn’t have.

Most integration analysts know HL7, FHIR, and data mapping, not AWS VPCs, NAT rules, and cloud security policy, so asking them to own infrastructure too invites risk and burnout.

On-premises integration stacks block AI adoption

Batch-oriented, point-to-point architectures can’t deliver the real-time, low-latency feeds AI tools require, which is often what keeps AI pilots from becoming production deployments.

we meet you where you are

On-premises vs. Rhapsody cloud deployment

The cost of staying on-premises isn’t always visible until it compounds. Here’s how the two approaches compare across the dimensions that matter most for integration teams.

Dimension	On-premises integration	Rhapsody cloud deployment
Infrastructure maintenance	Your team owns patching, upgrades, hardware replacement, and uptime monitoring. Every server failure is an emergency.	You focus on integrations. Rhapsody manages cloud infrastructure — security patches, upgrades, and monitoring — on AWS.
Scalability	Adding capacity requires hardware procurement and configuration. Data volume spikes hit ceilings that take weeks to address.	You scale without hardware. Cloud resources scale with demand, so a doubling of data volume doesn’t mean a new server procurement cycle.
Cost structure	Capital expenditure for hardware, plus ongoing staff time for maintenance. True cost is often underestimated until a refresh cycle hits.	You shift to predictable subscription costs. No hardware refresh cycles, no emergency infrastructure spend, no hidden capital outlay.
AI and AI-readiness	Batch-oriented architectures don’t support real-time AI data feeds. Moving to the cloud is typically a prerequisite for AI adoption at scale.	You build the foundation AI requires. Rhapsody Axon, a health data integration agent, is embedded directly in the cloud platform.
Uptime and redundancy	Redundancy depends on your own data center architecture. Many mid-sized organizations have limited failover capacity.	You get enterprise-grade resilience. AWS-hosted Rhapsody environments include redundancy, failover, and uptime monitoring built in.
Integration team focus	Time is split between infrastructure maintenance and integration work. IT staffing constraints make both harder over time.	You free your team to build. When Rhapsody manages infrastructure, analysts focus entirely on interface development and data quality.

Get the deployment model that fits.

Not every organization needs the same cloud model. Select your situation to see which deployment fits.

Recommended model

How Rhapsody Supports your cloud migration

Four phases. Zero downtime. No surprises.

Rhapsody’s four-phase migration methodology was built from hundreds of real-world migrations. It eliminates the guesswork and keeps your clinical workflows running the entire time.

phase 1 | discover

Rhapsody develops a migration plan based on your existing integration workflows, technical requirements, and business goals. You and the Rhapsody team prioritize which interfaces move to the cloud first, and map every timing, dependency, and logistical requirement before a single line of configuration moves.

phase 2 | build

Rhapsody builds your cloud environment on AWS, upgrades your integration engine to the current version, and prepares your data for production. Your on-premises environment stays live throughout this phase. There’s no gap in coverage.

phase 3 | map and test

Every interface is tested in a non-production cloud environment before cutover. Data mappings are validated end-to-end, not just for connectivity but for production behavior, so edge cases surface in testing, not after go-live.

phase 4 | cutover

Rhapsody manages the transition from your on-premises engine to your cloud-hosted engine. Both environments run in parallel until validation is complete. Clinical workflows don’t stop. Cutover happens when the cloud environment is proven, not on a fixed calendar date.

Built for healthcare. Ready for what comes next.

AWS-hosted, HIPAA-compliant infrastructure.

Rhapsody handles security patching, upgrades, uptime monitoring, and failover so your integration team can focus elsewhere.

Migrate from any on-premises platform.

Whatever you’re running today, your integrations port over. Rhapsody rebuilds them in the cloud and validates them side by side against production.

APIs and Interfaces for FHIR, HL7, MCP, REST, and more.

One cloud platform for FHIR, HL7 v2, MCP, REST, CDA, X12/EDI, SQL, DICOM, and AMQP.

Rhapsody® Axon, a health data integration agent, built in.

AI-powered integration. Axon monitors integration health, flags issues before they reach clinical workflows, and automates data management.

Cloud, self-hosted, or hybrid, on your timeline.

Start hybrid while you validate the cloud environment. Go fully cloud when you’re ready, or self-host in your own AWS, Azure, or GCP environment.

Professional services that own the migration with you.

You get a named team and a cutover plan built from hundreds of healthcare migrations, not a runbook and good luck.

Don’t just take our word for it

Healthcare organizations that moved to the cloud with Rhapsody

200 interfaces

migrated in 18 months, even after a M&A event doubled their interface count. Today they run 1,200+ connections from a single cloud environment.

“We were able to bring [200 interfaces] into the Rhapsody SaaS offering and we were off and running.“
— Darren Powell, AVP of Applications

10x performance improvement

and 50% faster customer onboarding after moving from a fragmented 20-instance architecture to Rhapsody’s cloud platform.

“We’re processing files in less than an hour … This would have taken days in the previous environment.”
— Jeremy Coleman, Director of Integrations

Ready to move your integrations to the cloud?

See how Rhapsody preserves every interface, scopes your timeline, and moves you off aging servers without downtime.

Get a migration assessment

FREQUENTLY ASKED QUESTIONS

Cloud migration for healthcare integration

Healthcare integration cloud migration is the process of moving a health system’s or health tech organization’s integration infrastructure (including HL7 interfaces, FHIR connections, and API-based data flows) from on-premises servers to a cloud-hosted environment. The goal is to reduce infrastructure overhead, improve scalability and uptime, and position the organization for faster adoption of AI and modern interoperability tools. Done well, migration preserves existing integration logic while eliminating the cost and complexity of maintaining on-premises hardware.

The most common risks are disruption to clinical workflows during cutover, incomplete interface testing that allows data errors to surface in production, and compliance gaps if HIPAA and data residency requirements aren’t addressed in the cloud architecture. Organizations without a phased migration plan (one that runs cloud and on-premises environments in parallel) are most vulnerable. Rhapsody’s migration methodology addresses each risk with a structured four-phase approach: discovery, build, mapping and testing, and managed cutover.

Migration timelines depend on the number of interfaces, the complexity of existing integration logic, and the target cloud environment. Most healthcare organizations migrating a mid-sized environment (100 to 300 interfaces) complete the process in three to six months with a structured methodology and expert support. UofL Health migrated 200 interfaces within a tight 18-month deadline while simultaneously handling M&A activity and avoiding disruption to patient care.

Rhapsody supports three cloud deployment models: Rhapsody as a Service (RaaS), where Rhapsody manages cloud infrastructure on AWS and your team manages integration logic; Corepoint as a Service, the same model for Corepoint users; and Envoy, a fully automated integration platform where Rhapsody handles both infrastructure and integration automation. Organizations can also choose to host Rhapsody in their own cloud environment. All options are HIPAA-compliant and supported on AWS.

Yes. Rhapsody supports migration from third-party integration engines, not just legacy Rhapsody or Corepoint environments. Rhapsody’s professional services team provides interface porting, side-by-side environment testing, and migration planning for organizations moving from any on-premises integration platform. CliniSync, Ohio’s only statewide HIE, reduced interface volume by 90% for key use cases and consolidated 25 error queues into one after migrating from a legacy engine to Rhapsody.

Disruption is the central risk most organizations want to avoid, and the main reason a structured migration methodology matters. Rhapsody runs cloud and on-premises environments in parallel during migration, testing every interface in a non-production environment before cutover. This side-by-side approach means existing integrations remain live until the cloud environment is fully validated. UofL Health migrated 200 interfaces and stood up 25 new ones without disrupting patient care.

On-premises integration stacks were built for batch-oriented, point-to-point data movement, not the real-time, normalized data feeds AI tools require. Moving integration infrastructure to the cloud creates the foundation for AI-ready data pipelines: low-latency data flows, centralized monitoring, and the ability to scale without manual infrastructure changes. Rhapsody Axon, a health data integration agent, is embedded within Rhapsody’s cloud platform and enables AI-powered integration monitoring and more automated data management.

Moving health data integrations to the cloud_guide_image_2023

Guides

How Rhapsody health solutions support your move to the cloud

Using the AWS cloud environment, Rhapsody health solutions develops a holistic migration strategy specific to the customer while preparing & testing data for a smooth transition.