Abstract

Several challenges to guarantee medical care have been exposed during the current COVID-19 pandemic. Although the literature has shown some robotics applications to overcome the potential hazards and risks in hospital environments, the implementation of those developments is limited, and few studies measure the perception and the acceptance of clinicians. This work presents the design and implementation of several perception questionnaires to assess healthcare provider's level of acceptance and education toward robotics for COVID-19 control in clinic scenarios. Specifically, 41 healthcare professionals satisfactorily accomplished the surveys, exhibiting a low level of knowledge about robotics applications in this scenario. Likewise, the surveys revealed that the fear of being replaced by robots remains in the medical community. In the Colombian context, 82.9% of participants indicated a positive perception concerning the development and implementation of robotics in clinic environments. Finally, in general terms, the participants exhibited a positive attitude toward using robots and recommended them to be used in the current panorama.

Rights

© 2021 Sierra Marín, Gomez-Vargas, Céspedes, Múnera, Roberti, Barria, Ramamoorthy, Becker, Carelli and Cifuentes. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. http://creativecommons.org/licenses/by/4.0/

Cite as

Sierra Marín, S., Gomez-Vargas, D., Céspedes, N., Múnera, M., Roberti, F., Barria, P., Ramamoorthy, S., Becker, M., Carelli, R. & Cifuentes, C. 2021, 'Expectations and Perceptions of Healthcare Professionals for Robot Deployment in Hospital Environments during the COVID-19 Pandemic', Frontiers in Robotics and AI, 8, article no: 612746. https://doi.org/10.3389/frobt.2021.612746

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Last updated: 16 June 2022
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