Prediction and Treatment of Covid-19 Patients through Telemedicine in Indian Scenario using AI

ABSTRACT

Outbreak of Covid-19 pandemic has proved highly disruptive to the order of world. With countries coming at standstill and economy reeling under the pressure, producing negative growth rate. Simultaneous it proved to be blessing in disguise in providing an opportunity for faster adaption of ICT especially into education and healthcare fields. Countries are coming with new acts, laws and rules to facilitate this. National Digital Health Mission, Telemedicine Practice Guidelines and CoWIN driven largest vaccination drive on the earth are some of such instances. ICT integration to healthcare can also help to control the impact and spread of pandemic. So, it the ripe time to implement ICT in healthcare to make maximum benefit out of it on one hand and to overcome scarcity of resource on other side. It can bring speed, convenience, and reliability in various aspects of healthcare ranging from prediction to treatment. In this paper authors have proposed one such comprehensive Covid management schema, for health infrastructure constrained countries like India, based on digitization of healthcare data, its intelligent analysis using Artificial Intelligence and remote patient care though telemedicine-based home treatment. Proposed schema considers historical EHR data comprising of structured health parameter data, unstructured imaging/genomic data and live semi structured critical parameter data collected through IoT devices. The proposed schema may relieve the extra burden on healthcare system by raising warning/alarm based on automated intelligent analysis of data. During this work authors have identified the critical role of Artificial Intelligence and need to tap its true potential in processing huge & inconsistent data produced by different sources. Real time analysis of data through some brute force method is not feasible, so we need intelligent solutions in detection and management of Covid. AI act as savior in this situation. ©2021 Copyright for this paper by its authors.