The rapid digitalization of healthcare demands platforms capable of unifying fragmented clinical workflows under a single, scalable infrastructure. This paper presents MedTrack, a cloud-enabled healthcare management system architected on Amazon Web Services (AWS) that integrates appointment lifecycle management, electronic medical record storage, blood bank inventory tracking, automated billing and insurance processing and bidirectional doctorpatient communication within a role-based web application built on the Flask framework. The system leverages Amazon EC2 for application hosting, DynamoDB for schema-flexible NoSQL storage across nine dedicated tables, Simple Notification Service (SNS) for multi-channel email and SMS alerts, Identity and Access Management (IAM) for credential-free service authorization and AWS Bedrock for conversational AI health assistance. Beyond conventional hospital information system capabilities, MedTrack introduces a multimodal clinical decision support pipeline that fuses physiological signal analysis, medical image interpretation and genomic variant parsing to produce consolidated severity assessments with confidence scores. Experimental deployment and comprehensive feature validation demonstrate that the platform sustains end-toend clinical workflows with high reliability while remaining lightweight, modular and practically deployable in resource-constrained healthcare environments. The results confirm that cloudnative design combined with embedded artificial intelligence can meaningfully bridge the gap between administrative efficiency and clinical intelligence within a unified system architecture.
Tiruttani et al. (2026) studied this question.