Modernizing Legacy EHR Ecosystems: A Cloud-Native Approach to Secure EPIC Migrations with AI-Enabled Infrastructure

10 years of experience in software development across Cloud Engineering, DevOps, DevSecOps, AI Infrastructure and multi-tier applications. • Expert in AI Tools AWS Bedrock Apis, GitHub Copilot, Clude Code, RAG, Model distillations, Cursor, MCP integrations with Azure, AWS, Bitbucket, GitHub Actions, GitLab Runners. Using IAC tools like CDK, Terraform and AWS Boto3 for scripting. • Worked with Python and Java Rest APIs and micro service architecture. Worked with Kubernetes blue green deployment patterns using ArgoCD • Skilled in DevSecOps tools like AWS Guard Duty, AWS Config, Wiz, Snyk, Splunk, Checkov, Tenable, and CrowdStrike. • Strong understanding and ability to deploy front end and backend applications on Amplify with react stack, NodeJS backed applications. • Worked with Infrastructure creation for AWS Redshift, Postgress, MySQL, MongoDB, and deploying REST APIs on Kubernetes. • Experience with AI/ML deployments using Amazon Bedrock and Ollama. • Agile team player with strong communication and time management skills Reference: The United States healthcare system is at a critical inflection point, with a large proportion of Electronic Health Record infrastructure still operating on architectures standardized in the 1990s and never migrated to cloud environments. This presentation examines a practical, production-grade framework for migrating complex EPIC EHR ecosystems and their associated third-party clinical applications onto modern multi-cloud environments spanning AWS, Microsoft Azure, and Google Cloud Platform. Drawing from real-world implementations, the talk covers the design and deployment of cloud landing zones using AWS Landing Zone Accelerator (LZA), multi-zonal and multi-region high availability architectures, and Isolated Recovery Environments (IRE) engineered for healthcare business continuity. Special attention is given to the secure migration of Oracle database environments storing decades of sensitive patient data, and the governance protocols required to integrate these data stores with AI-enabled pipelines in full compliance with HIPAA and HITECH. The presentation also explores the application of AI Operations in healthcare infrastructure, including retrieval-augmented generation (RAG) systems, agentic AI with multi-agent frameworks, and the use of AWS Bedrock foundation models for infrastructure automation. Attendees will gain practical insight into how DevSecOps principles, zero-trust network architecture, and continuous observability can be applied to protect hospital ecosystems against sophisticated modern cyberattacks while maintaining the application availability that patient safety demands. Keywords: EHR Modernization, EPIC Migration, Cloud Landing Zone, Healthcare Cloud Security, AWS Bedrock, AI Operations, DevSecOps, HIPAA Compliance, Oracle Database Migration, Multi-Cloud Architecture