IoT based medical assistant for efficient monitoring of patients in response to COVID-19

Abstract

We have developed a complete model of monitoring patients at regular intervals through an interconnected network among the doctors, nurses and patients with a view to minimizing the workload of the doctors and nurses, reducing the chances of medical professionals being infected by COVID-19 type of contagious disease and increasing the overall efficiency of patient monitoring in hospitals. Bio-medical sensors interfaced with microcontroller are used to collect the data of heart beat rate, body temperature and body movement to get an overview of the present health condition of the patient. The recorded data are stored in an excel file and updated automatically to the internet via OneDrive in every 30 seconds. In case of any large deviation from the normal condition, an automated alarm system will notify the assigned doctor about the condition of the patient. A medication reminder system is added in our designed android app to notify the patient to take the medicine prescribed by the doctor at proper time. The patient can also call the nurse in case of emergency and there is also scope for the patient to control the position of the bed according to his comfort. The level of saline or blood injected into the vein of the patient can also be monitored in our system to inform the nurse at the time of being finished.