Disaster e-Health Digital Twins: A Serverless IoT Architecture for Real-Time Healthcare Logistics in Crisis Environments

The deployment of Healthcare Digital Twins presents a transformative approach to hospital operations and medical logistics. However, in the context of Disaster e-Health, the cyber-physical infrastructure linking the physical healthcare environment to its digital replica is highly vulnerable to network fragmentation and catastrophic latency. This paper proposes a cloud-native architectural framework utilizing Amazon Web Services to construct a highly resilient, serverless pipeline for Healthcare Digital Twins in disaster environments. By deploying asynchronous Python middleware integrated with eXtreme Gradient Boosting algorithms, the proposed system ingests high-frequency Internet of Things telemetry from distributed medical supply nodes and acute care facilities. During simulated disaster shocks, the architecture dynamically reroutes medical assets and predicts system-wide supply chain bottlenecks. Preliminary architectural evaluations demonstrate that utilizing event-driven cloud computing significantly reduces the computational overhead of maintaining a live digital twin, providing health informatics researchers with a deterministic, highly scalable tool for ensuring continuous emergency healthcare operation.