Design and Implementation of a Secure Cloud Platform for Electronic Medical Records

The healthcare industry faces persistent challenges in managing electronic medical records, including data fragmentation, security vulnerabilities, and scalability limitations inherent in traditional on-premise systems. This research focuses on the design and implementation of a secure cloud platform specifically architected for electronic medical records, addressing the critical need for systems that combine robust security with operational efficiency. The study employed a design science research methodology, progressing through requirements analysis, architectural design, prototype implementation, and comprehensive evaluation. The proposed platform utilizes a microservices architecture deployed on containerized infrastructure, with services organized around clinical domains including patient management, clinical documentation, orders, results, and medications. A hybrid data architecture combines service-specific operational databases with a centralized analytical data lake synchronized through change data capture mechanisms. Security is implemented through a zero-trust model incorporating attribute-based access control, end-to-end encryption using AES-256 and TLS 1.3, and comprehensive audit logging. The interoperability layer exposes FHIR-compliant APIs enabling seamless data exchange with external healthcare systems. A prototype implementing core electronic medical record functionality was developed and deployed on public cloud infrastructure using Kubernetes for orchestration. Performance evaluation demonstrated average response times of 45 milliseconds for patient retrieval and 120 milliseconds for clinical note creation under normal load, with the platform maintaining sub-second response times up to 500 concurrent users. Auto-scaling capabilities successfully handled sudden load spikes, reducing peak response times from 800 milliseconds to normal levels within three minutes. Interoperability validation confirmed full FHIR compliance with successful end-to-end exchange in simulated referral scenarios. Security assessment identified no critical vulnerabilities, with access controls correctly enforcing authorization policies across all test scenarios. The research contributes a validated architectural framework that systematically integrates scalability, interoperability, and security for cloud-based electronic medical record systems. The findings demonstrate that cloud-native architectures can achieve the performance, security, and compliance requirements essential for clinical environments while providing the scalability and accessibility benefits of cloud computing.