Resp-IoT: IoT device for evaluation of respiratory risk from COVID-19

80% of patients of COVID-19 are mild cases, which means they require outpatient care. However, they can quickly develop acute respiratory complications. Countless patients will not have the opportunity for constant monitoring due to a shortage of human resources in health, as well as the evident collapse of the health system, especially those in low-and-middle-income countries. The respiratory rate is an important prognostic factor that can be identified early. Its constant and reliable monitoring will allow a better control of the evolution of the patient for a timely attention. The proposed solution is a hardware-based monitoring system with Internet of Things (IoT) technology, with the ability to obtain parameters such as respiratory rate, heart rate and oxygen saturation, as well as a progressive web app for storage and setting. In addition, we will develop an electronic patient diary to collect symptoms, applying statistics to the collected values through a cloud platform. Collecting and analyzing this big data could facilitate the future development of prediction algorithms. Healthcare companies could use this technology to provide transparency in their overall information system. This will enhance the COVID-19 patient management and treatment workflow with an efficient performance for decision making in complex cases.