Emerging Computational Approaches in Telehealth and Telemedicine: A Look at The Post-COVID-19 Landscape

Author(s): K. Sharmila*, V. Janaki and T. Sravanthi

DOI: 10.2174/9789815079272122010004

Adopting Artificial Intelligence for Remote Patient Monitoring and Digital Health Care

Pp: 26-42 (17)

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  • * (Excluding Mailing and Handling)

Abstract

SHS investigation development is considered from the geographical and historical viewpoint. 3 stages are described. Within Stage 1 the work was carried out in the Department of the Institute of Chemical Physics in Chernogolovka where the scientific discovery had been made. At Stage 2 the interest to SHS arose in different cities and towns of the former USSR. Within Stage 3 SHS entered the international scene. Now SHS processes and products are being studied in more than 50 countries.

Abstract

The COVID-19 pandemic has created a new culture in the working style in all fields across the globe. While trauma is continuing to rise in many parts of the world, some countries are now working to sustain the stress and are recreating their health and economies. In a few developing countries, there is a shortage of doctors, and treatment is not being provided to all patients due to the lack of time that doctors can spend with patients. In such a situation, getting appointments and treatment is always a challenge for patients and elderly people who cannot resist longer waiting times. Another rising problem is the restriction on visiting the hospitals during the pandemic spread time, except in emergencies. To overcome this problem, we are proposing a Remote Health Monitoring Application for patients, which helps all categories of people consult the doctor over the telephone, explain their symptoms, and get their required treatment. In this chapter, we will discuss a Health Monitoring Application that employs Artificial Intelligence, which enables the patient to consult the doctor remotely and get treatment through digital mode. 

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