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Zhou, C., Su, F., Pei, T., Zhang, A., Du, Y., Luo, B., Cao, Z., Wang, J., Yuan, W., Zhu, Y. and Song, C. (2020) COVID-19: Challenges to GIS with Big Data. Geography and Sustainability, 1, 77-87.
https://doi.org/10.1016/j.geosus.2020.03.005

has been cited by the following article:

• TITLE: A GIS Tool That Provides Intelligent Solutions in Emergency Departments during COVID-19

  AUTHORS: Ranya Fadlalla Elsheikh

  KEYWORDS: Emergency Department, Waiting time, Dashboard, GIS, COVID-19

  JOURNAL NAME: Journal of Geographic Information System, Vol.14 No.3, June 29, 2022

  ABSTRACT: The response to the COVID-19 pandemic has led to a revolution in open geographic information system (GIS) sources and Web GIS, which have grown considerably. Patient handover and crowding are critical issues to address during the COVID-19 pandemic. Saudi Arabia’s Vision 2030 aims to optimise quality and resource utilisation in emergency departments (EDs). GIS technology has been used to clarify the state of COVID-19 at the country level, however, the potential of GIS technology requires ongoing investigation to support Saudi Arabia’s Vision 2030. During a pandemic, great pressure is placed on EDs, with patients waiting long periods for treatment, which can lead to great health risks. This paper aims to illustrate the rule of GIS in providing intelligent solutions in emergency services during the COVID-19 pandemic. A satisfaction questionnaire was distributed to over 180 patients who were selected randomly from the nine emergency rooms of Jeddah governorate hospitals from different priority levels. Fifteen factors are determined and grouped into five domains to reflect patients’ satisfaction: emergency department environment, emergency department staff, physician care satisfaction, and wait time satisfaction. The critical values reveal in wait time were 84% of patients from the second to the fourth level of priority had waited a long or extremely. Most of the respondents (87%) wanted to know ER wait times before arrival hospital. The website was the most preferred choice for publishing wait times outside the ER for 56.7% of them. An online ArcGIS dashboard was developed to monitor hospital wait times in Jeddah City. This dashboard can be useful to the public to guide them in determining which hospital is the most suitable regarding a minimum waiting time and can also help in considering the travel distance.