Since the global health disaster of COVID -19, the health professionals have been looking for new technologies to monitor and mitigate the number of patients affected by this pandemic. Through this research work, we seek to optimize the healthcare process of the infectious disease department of a hospital through the proposal of an approach that integrates IoT devices into the care process model. More generally, we propose the integration of a set of sensors in business processes and analyze their effect to improve their performance. Given the emergence of the covid-19 pandemic and the importance of the data processed by the Internet of Things (IoT), dealing with the associated security becomes fundamental. The latter will ensure the effectiveness of IoT as a solution which helps healthcare staff in controlling patients infected by the virus. To reach our objective we developed a Framework intended for the doctor which aims to group together the different measurements from the different IoT devices that can be used during COVID-19 health care. We tested the approach by collecting two different measures which are oxygen saturation and heart rate. These measurements were obtained thanks to an oximeter. Our approach is valid for a multi-sensor solution with several measured data. Given the lack of technical means to carry out a test with other devices, we relied on existing values measured in the Farhat Hached hospital in Sousse. We analysed them, by applying the decision tree technique which is one of the data mining techniques, in order to facilitate the diagnosis and improve the COVID-19 care process.