Internet of Medical Things Based Telemedicine Framework for Remote Patients Triage and Emergency Medical Services

Abstract

The Internet of Medical Things (IoMT) and smart sensors are widely used in healthcare sectors. IoMT devices generate valuable and beneficial data for healthcare organizations. Chronic diseases are seriously threatening human health. In this situation, the IoMT provides essential monitoring of the status of patients who have chronic diseases. This paper proposes a new framework using telemedicine techniques for monitoring patients who have chronic diseases but are too far from a hospital. Furthermore, we present a triage algorithm using Random Forest machine learning techniques. The results demonstrate accurate results of 82.56% for the dataset of 572 patients. The proposed framework successfully predicts the severity status of the patients.