E-Triage Systems for COVID-19 Outbreak: Review and Recommendations

With population growth and aging, the emergence of new diseases and immunodeficiency, the demand for emergency departments (EDs) increases, making overcrowding in these departments a global problem. Due to the disease severity and transmission rate of COVID-19, it is necessary to provide an accurate...

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Main Authors: Fahd Alhaidari, Abdullah Almuhaideb, Shikah Alsunaidi, Nehad Ibrahim, Nida Aslam, Irfan Ullah Khan, Fatema Shaikh, Mohammed Alshahrani, Hajar Alharthi, Yasmine Alsenbel, Dima Alalharith
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/21/8/2845
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author Fahd Alhaidari
Abdullah Almuhaideb
Shikah Alsunaidi
Nehad Ibrahim
Nida Aslam
Irfan Ullah Khan
Fatema Shaikh
Mohammed Alshahrani
Hajar Alharthi
Yasmine Alsenbel
Dima Alalharith
author_facet Fahd Alhaidari
Abdullah Almuhaideb
Shikah Alsunaidi
Nehad Ibrahim
Nida Aslam
Irfan Ullah Khan
Fatema Shaikh
Mohammed Alshahrani
Hajar Alharthi
Yasmine Alsenbel
Dima Alalharith
author_sort Fahd Alhaidari
collection DOAJ
description With population growth and aging, the emergence of new diseases and immunodeficiency, the demand for emergency departments (EDs) increases, making overcrowding in these departments a global problem. Due to the disease severity and transmission rate of COVID-19, it is necessary to provide an accurate and automated triage system to classify and isolate the suspected cases. Different triage methods for COVID-19 patients have been proposed as disease symptoms vary by country. Still, several problems with triage systems remain unresolved, most notably overcrowding in EDs, lengthy waiting times and difficulty adjusting static triage systems when the nature and symptoms of a disease changes. In this paper, we conduct a comprehensive review of general ED triage systems as well as COVID-19 triage systems. We identified important parameters that we recommend considering when designing an e-Triage (electronic triage) system for EDs, namely waiting time, simplicity, reliability, validity, scalability, and adaptability. Moreover, the study proposes a scoring-based e-Triage system for COVID-19 along with several recommended solutions to enhance the overall outcome of e-Triage systems during the outbreak. The recommended solutions aim to reduce overcrowding and overheads in EDs by remotely assessing patients’ conditions and identifying their severity levels.
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spelling doaj.art-b80e2363655946d6be126d14fe8b7e522023-11-21T16:02:58ZengMDPI AGSensors1424-82202021-04-01218284510.3390/s21082845E-Triage Systems for COVID-19 Outbreak: Review and RecommendationsFahd Alhaidari0Abdullah Almuhaideb1Shikah Alsunaidi2Nehad Ibrahim3Nida Aslam4Irfan Ullah Khan5Fatema Shaikh6Mohammed Alshahrani7Hajar Alharthi8Yasmine Alsenbel9Dima Alalharith10Department of Networks and Communications, College of Computer Science and Information Technology, Imam Abdulrahman Bin Faisal University, P.O. Box 1982, Dammam 31441, Saudi ArabiaDepartment of Networks and Communications, College of Computer Science and Information Technology, Imam Abdulrahman Bin Faisal University, P.O. Box 1982, Dammam 31441, Saudi ArabiaDepartment of Computer Science, College of Computer Science and Information Technology, Imam Abdulrahman Bin Faisal University, P.O. Box 1982, Dammam 31441, Saudi ArabiaDepartment of Computer Science, College of Computer Science and Information Technology, Imam Abdulrahman Bin Faisal University, P.O. Box 1982, Dammam 31441, Saudi ArabiaDepartment of Computer Science, College of Computer Science and Information Technology, Imam Abdulrahman Bin Faisal University, P.O. Box 1982, Dammam 31441, Saudi ArabiaDepartment of Computer Science, College of Computer Science and Information Technology, Imam Abdulrahman Bin Faisal University, P.O. Box 1982, Dammam 31441, Saudi ArabiaDepartment of Computer Information Systems, College of Computer Science and Information Technology, Imam Abdulrahman Bin Faisal University, P.O. Box 1982, Dammam 31441, Saudi ArabiaDepartment of Emergency Medicine, College of Medicine, Imam Abdulrahman Bin Faisal University, P.O. Box 1982, Dammam 31441, Saudi ArabiaDepartment of Computer Science, College of Computer Science and Information Technology, Imam Abdulrahman Bin Faisal University, P.O. Box 1982, Dammam 31441, Saudi ArabiaDepartment of Computer Science, College of Computer Science and Information Technology, Imam Abdulrahman Bin Faisal University, P.O. Box 1982, Dammam 31441, Saudi ArabiaDepartment of Computer Science, College of Computer Science and Information Technology, Imam Abdulrahman Bin Faisal University, P.O. Box 1982, Dammam 31441, Saudi ArabiaWith population growth and aging, the emergence of new diseases and immunodeficiency, the demand for emergency departments (EDs) increases, making overcrowding in these departments a global problem. Due to the disease severity and transmission rate of COVID-19, it is necessary to provide an accurate and automated triage system to classify and isolate the suspected cases. Different triage methods for COVID-19 patients have been proposed as disease symptoms vary by country. Still, several problems with triage systems remain unresolved, most notably overcrowding in EDs, lengthy waiting times and difficulty adjusting static triage systems when the nature and symptoms of a disease changes. In this paper, we conduct a comprehensive review of general ED triage systems as well as COVID-19 triage systems. We identified important parameters that we recommend considering when designing an e-Triage (electronic triage) system for EDs, namely waiting time, simplicity, reliability, validity, scalability, and adaptability. Moreover, the study proposes a scoring-based e-Triage system for COVID-19 along with several recommended solutions to enhance the overall outcome of e-Triage systems during the outbreak. The recommended solutions aim to reduce overcrowding and overheads in EDs by remotely assessing patients’ conditions and identifying their severity levels.https://www.mdpi.com/1424-8220/21/8/2845COVID-19triage systemclinical diagnosisdiseasespriorityemergency department
spellingShingle Fahd Alhaidari
Abdullah Almuhaideb
Shikah Alsunaidi
Nehad Ibrahim
Nida Aslam
Irfan Ullah Khan
Fatema Shaikh
Mohammed Alshahrani
Hajar Alharthi
Yasmine Alsenbel
Dima Alalharith
E-Triage Systems for COVID-19 Outbreak: Review and Recommendations
Sensors
COVID-19
triage system
clinical diagnosis
diseases
priority
emergency department
title E-Triage Systems for COVID-19 Outbreak: Review and Recommendations
title_full E-Triage Systems for COVID-19 Outbreak: Review and Recommendations
title_fullStr E-Triage Systems for COVID-19 Outbreak: Review and Recommendations
title_full_unstemmed E-Triage Systems for COVID-19 Outbreak: Review and Recommendations
title_short E-Triage Systems for COVID-19 Outbreak: Review and Recommendations
title_sort e triage systems for covid 19 outbreak review and recommendations
topic COVID-19
triage system
clinical diagnosis
diseases
priority
emergency department
url https://www.mdpi.com/1424-8220/21/8/2845
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