A Cloud-Native Hospital Appointment Scheduling and Electronic Health Record Management System Leveraging AWS Services and DevOps Automation

Abstract: The growing demand for accessible and reliable digital healthcare has exposed the limitations of conventional, on-premise hospital management software, which frequently suffers from poor scalability, fragmented patient data, and unreliable service availability during peak load. This study presents the design and evaluation of a cloud-native platform that unifies outpatient appointment scheduling with electronic health record (EHR) management while embedding continuous integration and continuous delivery (CI/CD) practices throughout its lifecycle. The proposed system adopts a containerized microservice architecture deployed on Amazon Web Services (AWS), in which application logic is implemented in Python and the presentation layer is built using Node.js. A priority-aware scheduling routine allocates consultation slots, while patient records are persisted across managed relational and object storage services to balance consistency and elasticity. Infrastructure provisioning, automated testing, and deployment are orchestrated through an Infrastructure-as-Code and pipeline-driven DevOps workflow. Experimental evaluation under synthetic concurrent load demonstrates that the platform sustains an average response latency of roughly 312 ms at 1000 simultaneous users— markedly lower than a monolithic baseline—while horizontal auto-scaling preserves a measured service availability of 99.8%. Adoption of automated pipelines reduced deployment lead time from approximately 95 minutes to under 10 minutes and shortened mean recovery time after failure. The principal contributions are an integrated appointment-plus- EHR reference architecture, a reproducible DevOps automation strategy for healthcare workloads, and an empirical performance characterization that quantifies the benefits of cloud elasticity for clinical service delivery.

Keywords: Cloud computing; Electronic Health Records; Appointment scheduling; Amazon Web Services; DevOps; Microservices; Continuous integration; Healthcare informatics