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E-Triage Systems for COVID-19 Outbreak: Review and Recommendations.
Alhaidari, Fahd; Almuhaideb, Abdullah; Alsunaidi, Shikah; Ibrahim, Nehad; Aslam, Nida; Khan, Irfan Ullah; Shaikh, Fatema; Alshahrani, Mohammed; Alharthi, Hajar; Alsenbel, Yasmine; Alalharith, Dima.
Affiliation
  • Alhaidari F; Department of Networks and Communications, College of Computer Science and Information Technology, Imam Abdulrahman Bin Faisal University, P.O. Box 1982, Dammam 31441, Saudi Arabia.
  • Almuhaideb A; Department of Networks and Communications, College of Computer Science and Information Technology, Imam Abdulrahman Bin Faisal University, P.O. Box 1982, Dammam 31441, Saudi Arabia.
  • Alsunaidi S; Department of Computer Science, College of Computer Science and Information Technology, Imam Abdulrahman Bin Faisal University, P.O. Box 1982, Dammam 31441, Saudi Arabia.
  • Ibrahim N; Department of Computer Science, College of Computer Science and Information Technology, Imam Abdulrahman Bin Faisal University, P.O. Box 1982, Dammam 31441, Saudi Arabia.
  • Aslam N; Department of Computer Science, College of Computer Science and Information Technology, Imam Abdulrahman Bin Faisal University, P.O. Box 1982, Dammam 31441, Saudi Arabia.
  • Khan IU; Department of Computer Science, College of Computer Science and Information Technology, Imam Abdulrahman Bin Faisal University, P.O. Box 1982, Dammam 31441, Saudi Arabia.
  • Shaikh F; Department of Computer Information Systems, College of Computer Science and Information Technology, Imam Abdulrahman Bin Faisal University, P.O. Box 1982, Dammam 31441, Saudi Arabia.
  • Alshahrani M; Department of Emergency Medicine, College of Medicine, Imam Abdulrahman Bin Faisal University, P.O. Box 1982, Dammam 31441, Saudi Arabia.
  • Alharthi H; Department of Computer Science, College of Computer Science and Information Technology, Imam Abdulrahman Bin Faisal University, P.O. Box 1982, Dammam 31441, Saudi Arabia.
  • Alsenbel Y; Department of Computer Science, College of Computer Science and Information Technology, Imam Abdulrahman Bin Faisal University, P.O. Box 1982, Dammam 31441, Saudi Arabia.
  • Alalharith D; Department of Computer Science, College of Computer Science and Information Technology, Imam Abdulrahman Bin Faisal University, P.O. Box 1982, Dammam 31441, Saudi Arabia.
Sensors (Basel) ; 21(8)2021 Apr 17.
Article in En | MEDLINE | ID: mdl-33920744
ABSTRACT
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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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Triage / COVID-19 Type of study: Prognostic_studies Limits: Humans Language: En Journal: Sensors (Basel) Year: 2021 Type: Article Affiliation country: Saudi Arabia

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Triage / COVID-19 Type of study: Prognostic_studies Limits: Humans Language: En Journal: Sensors (Basel) Year: 2021 Type: Article Affiliation country: Saudi Arabia