SmartCovidAssest: A Remote Monitoring System for Self-Quarantined COVID Positive Patients and Suspects in an IoT Environment.

Abstract

In this work we have developed a Remote Monitoring System to monitor the Covid positive patients and contacts who are in the quarantine centers or self-quarantine at their homes. The system uses the Internet of Things (IoT) and mHelath powered Mobile App technology to develop a Mobile App for the patients to upload the symptoms selected from predefined list of symptoms if they have during the quarantine period. These symptoms will be uploaded to the Monitoring System in Cloud Environment to analyze the patient’s condition. The patients and contacts must register in the system before it is used and they have to provide general information with the Grama Niladhari (GN) division. The daily uploaded data of the patients will be analyzed and the result will be compared with the standard threshold values defined in the system and visualize the patients’ condition to the patients, to the Medical Officer or Public Health Inspector (PHI) in MOH offices. If the patients need any further medical treatments, system will indicate it, then the PHIs can immediately get actions to give further treatment before the patient’s conditions becomes worst. The back-end system uses the predictive data analytic techniques to analyze the data and to generate the up-to-date reports and to provide the real time information about patients to the MOH divisions, districts, and provinces. This information can be used as a MIS for Covid -19 prevention program. Moreover, using this system, many reports can be easily generated and can provide a dashboard having information of the Covid-19 patients, contacts who are being quarantined at their homes and centers and PCR testing in GN division level, district level, province level, and national level which can be used to decide the Covid-19 control mechanisms and to get effective decisions with regard to the pandemic control.