Development of AIOT-based health kiosks for patient classification in e-health

This study aimed to develop health kiosks that collect demographic data, body indices, and vital signs of patients. Additionally, this paper proposed the integration of Artificial Intelligence (AI) to predict and classify patients based on various respiratory infectious diseases, using the data collected by the device. Furthermore, the paper discussed formatting the device's output packages according to HL-7 standards to facilitate seamless integration with hospital management system (HMS). It also proposed a solution for deploying these devices on e-Health platforms utilizing Internet of Things (IoT). During routine operations, the kiosks collect demographic data, body indices, and vital signs from patients for medical examination and treatment. In the event of an epidemic, these kiosks can be utilized to detect and manage positive cases, thereby contributing to the reduction of the spread of infectious respiratory diseases.