Abstract
Abstract As COVID-19 pandemic continued to propagate, millions of lives are currently at risk especially elderly, people with chronic conditions and pregnant women. Iraq is one of the countries affected by the COVID-19 pandemic. Currently, in Iraq, there is a need for a self-assessment tool to be available in hand for people with COVID-19 concerns. Such a tool would guide people, after an automated assessment, to the right decision such as seeking medical advice, self-isolate, or testing for COVID-19. This study proposes an online COVID-19 self-assessment tool supported by the internet of medical things (IoMT) technology as a means to fight this pandemic and mitigate the burden on our nation’s healthcare system. Advances in IoMT technology allow us to connect all medical tools, medical databases, and devices via the internet in one collaborative network, which conveys real-time data integration and analysis. Our IoMT framework-driven COVID-19 self-assessment tool will capture signs and symptoms through multiple probing questions, storing the data to our COVID-19 patient database, then analyze the data to determine whether a person needs to be tested for COVID-19 or other actions may require to be taken. Further to this, collected data can be integrated and analyzed collaboratively for developing a national health policy and help to manage healthcare resources more efficiently. The IoMT framework-driven online COVID-19 self-assessment tool has a big potential to prevent our healthcare system from being overwhelmed using real-time data collection, COVID-19 databases, analysis, and management of people with COVID-19 concerns, plus providing proper guidance and course of action.
Highlights
It was anticipated that 2020 is the beginning of an exciting decade in which we thought that we are mature enough to face global challenges such as infectious diseases, global warming, space invasion, and yet others
Online COVID-19 self-assessment framework supported by Internet of Medical Things (IoMT) technology 967 intelligence and machine learning can work toward smart solutions to deliver essential insights into global challenges such as COVID-19 pandemics via managing people with COVID-19 concerns and unlocking modern therapeutic solutions [8,9,10]
The proposed framework assumes that it is possible to mitigate the problematic situation represented by COVID-19 pandemic, and there is an urgent need to utilize the facilities offered by the IoMT methodology supported by the rule-based approach for patients’ management
Summary
It was anticipated that 2020 is the beginning of an exciting decade in which we thought that we are mature enough to face global challenges such as infectious diseases, global warming, space invasion, and yet others. Online COVID-19 self-assessment framework supported by IoMT technology 967 intelligence and machine learning can work toward smart solutions to deliver essential insights into global challenges such as COVID-19 pandemics via managing people with COVID-19 concerns and unlocking modern therapeutic solutions [8,9,10] Such inter-related technology innovations have a big potential for hospitals and clinical practices to establish a highly interconnected digital ecosystem, enabled by Internet of Things (IoT) technology for realtime data collection at scale, and empowered by machine learning and rule-based systems to comprehend big healthcare data and to discover trends, represent medical databases, modeling risks and predict outcomes [11,12,13,14].
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