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Not every legacy system needs the same fix. We map the right approach to your architecture, risk tolerance, and timeline before a single line of code is touched.
Lift your existing workloads to AWS, Azure, or GCP without modifying the application. The fastest path to reducing infrastructure cost and improving uptime is when the codebase is stable and compliant.
Restructure internal code and architecture without changing external behavior. We clear technical debt, improve performance, and prepare the codebase for incremental feature delivery without breaking physician workflows.
Migrate your application to a modern runtime or managed cloud service with targeted optimizations. Common when moving from on-premise Oracle or SQL Server environments to PostgreSQL or cloud-native managed databases.
Decompose your monolithic clinical platform into domain-aligned microservices. We apply the strangler fig pattern to migrate module by module, keeping the live system operational throughout the transition.
Rebuild core application logic, data models, and APIs from the ground up, preserving the clinical and business rules your organization depends on while eliminating the constraints of the old stack.
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Retire the legacy system entirely and replace it with a new HIPAA-compliant, FHIR R4-native platform. The right choice when the system's architecture prevents compliance, interoperability, or performance at scale.
Tell us what you're running. We'll map the modernization path that fits your compliance requirements and operational constraints.
Schedule a Technical Assessment
HL7 v2-only interfaces cannot communicate with modern FHIR R4-based platforms, payer systems, or the CMS-mandated patient access APIs that are now required under the 21st Century Cures Act.
Systems built before HIPAA Security Rule updates and the HITECH Act carry architectural gaps: no audit log completeness, no encryption at rest by default, no modern access control structures. These are not configuration issues. They require healthcare IT consulting services and structural remediation.
Every AI initiative, from clinical decision support to ambient voice documentation, requires structured data pipelines and API-accessible clinical data. Legacy monoliths do not expose that. You cannot add an AI layer to a system that does not have the data architecture to support it.
Modernization does not mean rebuilding everything. The clinical rules, the patient data, the physician workflows your team depends on – those stay. What changes is the architecture holding it back.
We draw a clear line before the project begins: what is preserved, what is refactored, and what is retired. Your clinical staff does not experience a cutover. The system stays live throughout.
What gets replaced:
What is preserved:
We map your current system end-to-end: application layers, data models, interface dependencies, compliance gaps, and infrastructure constraints. Output is a documented modernization brief with path options and risk ratings before any commitment.
Based on the assessment, we define the approach (rehost, refactor, re-architect, or replace), sequence the migration phases, and produce architecture documentation, including FHIR R4 API design, data migration schema, and cloud infrastructure layout.
We build the target environment in parallel with the live system. No cutover until the new environment passes functional testing, load testing, and compliance validation. Clinical workflows are tested against real-use scenarios before any user is moved.
Migration happens module by module using the strangler fig pattern. Physicians and clinical staff stay on the live system throughout. Each phase is validated before the next begins, with rollback controls active at every stage.
After go-live, we provide structured L1/L2/L3 support through a defined stabilization period. Full source code ownership transfers to your team at delivery, along with documentation and runbooks for your internal IT team.
The right path depends on your current architecture, compliance obligations, and how fast you need results. This table gives a working frame for the decision.
| Approach | Best For | HIPAA Complexity | Typical Timeline | Risk Level |
|---|---|---|---|---|
| Rehosting | Stable legacy apps on aging infrastructure | Low | 4 to 10 weeks | Low |
| Refactoring | Technical debt removal, performance issues | Medium | 8 to 20 weeks | Medium |
| Re-platforming | Database migration, cloud runtime moves | Medium | 10 to 24 weeks | Medium |
| Re-architecting | Monolith to microservices, FHIR readiness | High | 16 to 40 weeks | Medium-High |
| Re-engineering | Logic preservation, full-stack rebuild | High | 20 to 52 weeks | High |
| Full Replacement | Non-compliant, non-interoperable systems | Very High | 26 to 60 weeks | High |
When the modernization is complete, you are not just running the same platform on better infrastructure. The system is a different thing.
Your platform exposes HL7 FHIR R4-native APIs, satisfying CMS interoperability mandates, enabling payer connectivity, and unlocking patient data portability required under the 21st Century Cures Act. EHR software built on modern architecture connects cleanly to this layer.
Clinical data is structured, pipeline-accessible, and exposed through APIs that AI services can consume. Predictive risk models, ambient documentation systems, and clinical decision support tools connect without bespoke integration work.
Full audit log integrity, encryption at rest and in transit, role-based access controls, and compliance documentation aligned with HIPAA Security Rule, HITECH, and SOC 2 Type II requirements.
Moving from owned on-premise hardware to cost-optimized healthcare cloud management reduces infrastructure spend. Autoscaling eliminates over-provisioning. Managed cloud services reduce operational overhead.
Modernization costs vary by scope and approach. A rehosting engagement typically starts around $25,000–$60,000. Full re-arModernization costs vary by scope and approach. A rehosting engagement typically starts around $25,000–$60,000. Full re-architecture or replacement of a clinical platform ranges from $80,000 to $200,000+. Fill out the form below to get an eact estimate.chitecture or replacement of a clinical platform ranges from $80,000 to $200,000+. Fill out the form below to get an eact estimate.
We start with a paid architecture and compliance assessment before any build commitment. You receive a documented modernization brief you own, whether you continue with us or not.
We break the modernization into funded phases with defined deliverables. Each phase ends with a working, testable increment. You review before approving the next phase.
End-to-end delivery with a dedicated team embedded into your workflows. Fixed-Price, Time and Material, and Dedicated Team engagement models are available. We deliver the system and hand over full source code ownership at go-live.
We build and validate the target environment in parallel. Clinical staff stay on the live system throughout migration. No cutover until every workflow is tested and approved.
Every layer of the modernized system is designed to meet HIPAA Security Rule and HITECH requirements, including audit log integrity, encryption at rest and in transit, and documented access control structures.
Your team receives full source code, architecture documentation, and deployment runbooks at delivery. No vendor lock-in. No dependency on our team to keep the system running.
You meet the engineers assigned to your project before signing. No offshore handoffs, no bait-and-switch resourcing. The team you evaluate is the team that delivers.
Every modernization project we deliver is designed with HL7 FHIR R4 API compliance as a standard output, not an add-on. Your platform is ready for CMS interoperability requirements from day one.
Our agentic delivery methodology embeds security controls and compliance checkpoints throughout the development lifecycle, reducing rework and ensuring the final system is audit-ready before launch.
It covers assessment of existing architecture, selection of a modernization approach (rehosting, refactoring, re-architecting, or replacement), phased migration, HIPAA and FHIR compliance remediation, and post-launch stabilization. Deliverables include architecture documentation, migrated data with integrity verification, and full source code handover.
Timelines range from 4 weeks for a basic rehosting to 12 months or more for a full re-architecture of a large clinical platform. We scope timelines during the paid assessment phase based on system size, integration dependencies, and compliance requirements.
Yes. We use a parallel environment build and the strangler fig migration pattern to keep the live system operational throughout. Clinical staff do not experience a service disruption. Each module migrates independently with rollback controls active.
Refactoring improves internal code quality without changing the system's external behavior or structure. Re-architecting changes the structural design, typically breaking a monolith into microservices or migrating from a proprietary platform to a modern stack with FHIR R4-native APIs.
All patient data migrations include schema mapping documentation, integrity verification at each transfer stage, encryption in transit, and rollback controls. No data is moved to the target environment until verification passes.
We build to HIPAA Security Rule, HITECH Act, and SOC 2 Type II requirements as standard. For systems processing medical device data or operating in the EU, we also address FDA 21 CFR Part 11 and GDPR requirements as applicable.
Yes. We regularly take over projects that stalled mid-migration or were left incomplete by a previous vendor. We start with a codebase assessment before committing to a continuation scope.
We offer Fixed-Price, Time and Material, and Dedicated Team models depending on project scope. All projects begin with a paid assessment phase. Full source code ownership transfers to your team at delivery.
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