Technological advances and growing demand for innovative healthcare solutions underscore the importance of integrating the Internet of Things with mobile health. This study evaluates the performance of a platform for mobile health data communication based on Message Queuing Telemetry Transport (originally MQ Telemetry Transport), a lightweight publish/subscribe protocol commonly used in the Internet of Things domain. Using an Orange Pi Win Plus board, we simulated real-world healthcare conditions with varying workloads. Representative scenarios were developed to assess CPU usage, memory consumption, throughput, and latency across different levels of service quality. The results indicate effective handling of standard and moderately high demands, while extreme workloads reveal areas for optimization. Overall, these findings provide a strong basis for future enhancements in healthcare service delivery and illustrate the protocol’s potential for robust, scalable solutions.