PATIENT MANAGEMENT SYSTEM IN THE EMERGENCY DEPARTMENT DURING COVID-19 PANDEMIC USING TECHNOLOGY I.R 4.0

Safaa Osman, Mehrbakhsh Nilashi, Eko Supriyanto, Noor Aimie Salleh

Abstract


During the COVID-19 pandemic, hospitals seek to prevent the spread of infection by monitoring patients and paying close attention to precautionary and health measures in all aspects of their operations. In particular, Emergency Departments (ED) in middle- and low-income countries, are lack resources. As a result, there is overcrowding, a long wait time, incorrect triage, low treatment accuracy, high mortality, and patient and staff dissatisfaction. Hence, the seamless information transfer between ED staff, improve patients flow, and apply the COVID-19 assessment and precautions at entry to the hospital will limit these issues and increase patient satisfaction. In order to achieve this goal, we propose a system that able to classify patients in the emergency department according to their conditions and managing their treatment steps starts from they arrived until they discharge. The system will be able to segregate possible COVID-19 and nonCOVID-19 by assessing the condition of the patient from the beginning when arrived. Furthermore, the system will predict the patient's path and steps during the emergency department journey based on data provided by nurses, administration, lab practitioners, and doctors. To increase transparency for the patient or his family, all steps information will be sent to them with a user-friendly application.


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