Wireless Healthcare: Community-Based IoT Personalized Solution Trial

This report presents a trial of an advanced Internet of Things (IoT) point-of-care bio-fluid analyzer, specifically a LoRa/Bluetooth-enabled electronic reader for biomedical strip-based diagnostics, aimed at personalized monitoring for urinary tract infections (UTI). The study simulates long-range analysis using a disposable test ‘key’ and an Android app as a diagnostic platform for remote point-of-care screening. Results demonstrate the potential of an 868 MHz LoRaWAN-enabled personalized monitor, accurately diagnosing UTI test results and transmitting them to a secure cloud server over distances of 1.1-6.0 Km with significant radio path losses. The system's robustness and simplicity suggest it can deliver next-generation community-based smart diagnostics and disease management, particularly benefiting areas lacking mobile signals or broadband. The report highlights practical considerations for establishing an Internet of Medical Things network, offering insights for future system deployments and emphasizing potential savings on clinician visits and improved patient care through subscription-free long-range biotelemetry.