An Intelligent Telehealth System to Manage the Spread of COVID-19 at Hospitals

Date
2022
Authors
Adorkor, Jeffrey Kafui
Journal Title
Journal ISSN
Volume Title
Publisher
Ashesi University
Abstract
With the outbreak of the Coronavirus, people who visit hospitals are put at risk of contracting the virus in addition to their existing condition. As a result of the risks associated with the COVID-19 virus, unique and innovative solutions must be introduced to help reduce the spread of the virus. This project proposes an Intelligent Telehealth system to help manage the spread of the COVID-19 virus by reducing the number of physical interactions at hospitals. This system would help reduce the number of physical interactions at hospitals by instituting virtual consultations between doctors and patients. These consultations would include special features such as a Computer Vision component to monitor facial expressions. These special features would ensure that the gap between physical healthcare and virtual healthcare is bridged. The system was implemented as a mobile application for patients to create and manage bookings with doctors and to manage their medical records as well. A web application was also built to handle video consultations and to give doctors the opportunity to update the patient’s medical records during consultations. After the system was implemented, it was tested with three patients to measure its usability and usefulness. Scores were measured on a scale of 1 - 5 and all patients had scores ranging from 3-5 thus showing the usefulness of the system.
Description
Applied project submitted to the Department of Computer Science, Ashesi University, in partial fulfillment of Bachelor of Science degree in Computer Science April 2022
Keywords
Telehealth, Covid-19, Coronavirus, innovative solutions, Medical record management
Citation
DOI