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Healthcare

Cloud Migration and System Modernization for a Healthcare Organization

Cloud-native architecture with services, data encryption, and high availability.

Focus Areas

Cloud Infrastructure

System Modernization

Healthcare IT Optimization

Business Problem

A large healthcare organization operating multiple hospitals and outpatient facilities faced mounting issues with legacy systems, including slow performance, high maintenance costs, and poor interoperability. These outdated platforms hindered clinical workflows, delayed data availability, and limited innovation. The leadership team aimed to modernize its core systems by migrating infrastructure to the cloud and improving overall IT agility.

Key challenges:

  • Legacy EHR and Billing Systems: On-premises systems had reached end-of-life, causing integration issues and rising support costs.

  • Limited Scalability: Existing infrastructure could not handle peak loads during high-volume periods, impacting patient services.

  • High Operational Overhead: Manual patching, provisioning, and monitoring consumed IT resources and introduced delays.

  • Data Fragmentation: Patient and administrative data were siloed across platforms, impeding analytics and care coordination.

  • Security and Compliance Gaps: Legacy platforms lacked modern access controls and continuous compliance enforcement.

The Approach

Curate partnered with the healthcare provider to design and implement a comprehensive cloud migration strategy, modernize legacy applications, and enhance security and compliance. Using a phased, cloud-first approach, Curate enabled the organization to improve performance, reduce costs, and scale operations efficiently.

Key components of the solution:

  • Discovery and Requirements Gathering:

    • Infrastructure Assessment: Audited on-prem systems, dependencies, and performance metrics.

    • Stakeholder Alignment: Engaged IT, clinical, and operations leaders to define modernization goals and migration timelines.

    • Gap Analysis: Identified limitations in compute resources, backup practices, and user access.

    • Compliance Readiness Review: Assessed alignment with HIPAA and other relevant regulations.

  • Solution Design and Implementation:

    • Cloud Architecture Design: Developed a secure, scalable, and compliant architecture using AWS and Azure.

    • Workload Prioritization: Sequenced critical systems (EHR, billing, scheduling) for migration with minimal disruption.

    • Lift-and-Shift and Re-platforming: Used a hybrid approach to move some workloads as-is while modernizing others via containerization and managed services.

    • DevOps Enablement: Introduced CI/CD pipelines, automated provisioning, and infrastructure as code (Terraform, Ansible).

    • Security and Compliance Controls: Embedded IAM, encryption, logging, and monitoring into the new environment.

  • Process Optimization and Change Management:

    • Downtime Minimization Plan: Implemented blue-green deployments and rollback strategies.

    • Training Programs: Trained IT and clinical users on new interfaces and cloud workflows.

    • Data Migration Validation: Ensured accurate, complete, and secure transfer of patient records.

    • Governance Framework: Established policies for access, usage, and change management across cloud environments.

Business Outcomes

Improved System Performance and Reliability


Cloud-native architecture enabled 99.99% uptime and faster data retrieval for clinical workflows.

Reduced IT Operating Costs


Modernization and managed services lowered infrastructure costs by eliminating physical hardware and reducing manual tasks.

Enhanced Scalability


Elastic cloud resources supported variable demand during peak hours and public health surges.

Faster Application Deployment


Automated pipelines and containerization reduced deployment time from weeks to hours.

Sample KPIs

Here’s a quick summary of the kinds of KPI’s and goals teams were working towards**:

Metric Before After Improvement
System uptime 95% 99.9% Uptime increase significantly
Deployment time for updates 3 weeks 6 hours 98% faster
Infrastructure maintenance cost 1.2M/year 650k/year 46% cost savings
Data availability for clinicians 70% 99% 41% improvement
Backup and recovery testing time 4 days 4 hours 90% faster validation
**Disclaimer: The set of KPI’s are for illustration only and do not reference any specific client data or actual results – they have been modified and anonymized to protect confidentiality and avoid disclosing client data.

Customer Value

IT Agility


Enabled faster response to business needs and emerging technologies.

Cost Efficiency


Reduced capital expenditure and IT overhead.

Sample Skills of Resources

  • Cloud Architects: Designed multi-cloud strategy and migration roadmap.

  • DevOps Engineers: Implemented automation, CI/CD pipelines, and container orchestration.

  • Healthcare IT Specialists: Aligned systems with clinical workflows and HIPAA requirements.

  • Security Engineers: Deployed cloud-native security and compliance controls.

  • Project Managers: Coordinated phased migration and stakeholder engagement.

Tools & Technologies

  • Cloud Platforms: AWS, Microsoft Azure

  • Infrastructure as Code: Terraform, Ansible

  • CI/CD & DevOps: Jenkins, GitHub Actions, Docker, Kubernetes

  • Security & Compliance: AWS KMS, Azure Security Center, Splunk, Drata

  • Monitoring & Ops: Datadog, CloudWatch, PagerDuty

  • Collaboration: Jira, Confluence, Notion

Updated healthcare application interface running on cloud infrastructure with improved responsiveness.

Conclusion

Curate’s strategic approach—combining phased workload migration, infrastructure modernization, and robust security practices—enabled the healthcare provider to significantly enhance system reliability, scalability, and performance. The shift to cloud platforms such as AWS and Azure allowed the organization to flexibly scale its operations, respond quickly to changes in demand, and deploy critical updates and services with unprecedented speed. These improvements directly contributed to better clinical outcomes by ensuring that healthcare professionals had rapid and reliable access to patient data and operational systems.

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