AIoT: AI meets IoT and Web in Smart Healthcare

Abstract

Extending quality healthcare to all communities is an important goal for sustainable societies and economies. Even in the most sophisticated healthcare systems the doctors tend to spend less time and are under increasing workload and time pressure. Telemedicine, AI, Web technologies, and Big Data can play an important role to increase efficiency in diagnosis and improve the quality of care. Telemedicine over Web is becoming increasingly popular and the COVID-19 pandemic has accelerated this trend. In this paper we present a novel smartphone-based care solution that uses progressive web apps (PWA) to capture patient data, integrates this data with a diverse set of medical knowledge sources and deploys AI to support differential diagnosis and patient stratification. The system can suggest action and treatment plans and has been designed with special consideration to cyber security. The smart care system is based on technologies of the next generation web like PWA, WebBluetooth, Web Speech API, WebUSB, and WebRTC and integrates well into the concept of a smart hospital.