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Assessment of Healthcare Workers’ Level of Knowledge and Practices of Using Robotics During Covid-19

Abdelbaset M. Elghriani, Younis A. Younis, Abdelsalam M. Maatuk

Year
2022
Citations
3

Abstract

The outbreak of the coronavirus created a conventional challenge for the global community due to the lack increased a number of COVID-19 positive patients and stretched healthcare systems. Therefore, the global world starts to look for unconventional approaches and technologies to combat the dissemination of the COVID-19 virus, for example, utilizing Robotics and Artificial Intelligence. Using robotics for medical services is facing many challenges that may lead to failure. The most important of these challenges is that the healthcare workers are not trained well on using robotics, don’t have enough knowledge, awareness of the importance of using robotics especially during pandemics, and the relatively high cost of robotics. Thus, in this paper, we assess the levels of knowledge, attitude, and practices of healthcare workers about using robotics during pandemics. Further, a quantitative and a qualitative approach using a questionnaire to collect data is used. Over 40 healthcare workers participate, who have a fair background about robots. However, they have no idea about using robots in general and their field in particular.

Keywords

Coronavirus disease 2019 (COVID-19)Health careRoboticsArtificial intelligence2019-20 coronavirus outbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Computer scienceRobotMedicineVirology

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