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.
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). 2021 Apr 17;21(8):2845. doi: 10.3390/s21082845.
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.
随着人口增长和老龄化、新疾病和免疫缺陷的出现,对急诊科 (ED) 的需求增加,使得这些部门人满为患成为一个全球性问题。由于 COVID-19 的疾病严重程度和传播速度,有必要提供一个准确和自动化的分诊系统,对疑似病例进行分类和隔离。由于 COVID-19 患者的症状因国家而异,因此已经提出了不同的分诊方法。然而,分诊系统仍然存在几个问题尚未解决,最突出的是急诊科人满为患、等待时间长以及当疾病的性质和症状发生变化时,静态分诊系统难以调整。在本文中,我们对一般急诊科分诊系统和 COVID-19 分诊系统进行了全面审查。我们确定了在为急诊科设计电子分诊 (电子分诊) 系统时建议考虑的重要参数,即等待时间、简单性、可靠性、有效性、可扩展性和适应性。此外,该研究提出了一种基于评分的 COVID-19 电子分诊系统,并提出了一些建议的解决方案,以提高疫情期间电子分诊系统的整体效果。建议的解决方案旨在通过远程评估患者的病情并确定其严重程度级别,来减少急诊科的拥挤和开销。