Interoperability Solution for Internet of Medical Things in Telemedicine

Abstract

Restricted interoperability among heterogeneous Internet of Medical Things (IoMT) devices and telemedicine platforms brought immense integration challenges. In addressing this, an API-centric solution was built on RESTful services over .NET Core, complemented by a cross-platform mobile app developed using .NET MAUI. The system facilitated standardized data exchange, end-to-end encryption, and real-time cloud syncing. Synthetic patient dataset-based performance evaluation indicated lesser latency, reduced data loss, and improved scalability in comparison to traditional integration models. The framework provides a modular, extensible approach to seamless IoMT integration in resource-limited environments with future applications potentially including AI-augmented decision support and EHR system integration. Pent provides improvements in response time, data loss reduction, and increased scalability over conventional integration approaches. The proposed solution provides a practical, modular, and scalable method for interoperability in IoMT seamless telemedicine enabling more timely and efficient care through healthcare systems, particularly in resource-limited settings. Future possible extensions would be AI-based decision-making support and EHR system integration at a greater scale. The performance was evaluated by using simulated patient data, taking into account throughput, latency, error rate, and efficiency of integration in devices. Results were remarkable.