Sierra Marín Sergio D, Gomez-Vargas Daniel, Céspedes Nathalia, Múnera Marcela, Roberti Flavio, Barria Patricio, Ramamoorthy Subramanian, Becker Marcelo, Carelli Ricardo, Cifuentes Carlos A
Department of Biomedical Engineering, Colombian School of Engineering Julio Garavito, Bogota, Colombia.
Institute of Automatics, National University of San Juan, San Juan, Argentina.
Front Robot AI. 2021 Jun 2;8:612746. doi: 10.3389/frobt.2021.612746. eCollection 2021.
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.
在当前的新冠疫情期间，保障医疗护理面临着诸多挑战。尽管文献表明一些机器人技术应用能够克服医院环境中的潜在危害和风险，但这些进展的实施有限，且很少有研究衡量临床医生的认知和接受程度。这项工作展示了几份认知调查问卷的设计与实施，以评估医疗服务提供者在临床场景中对用于新冠疫情防控的机器人技术的接受程度和了解情况。具体而言，41名医疗专业人员圆满完成了调查，结果显示他们在这种场景下对机器人技术应用的了解程度较低。同样，调查还显示，医疗界对被机器人取代的担忧依然存在。在哥伦比亚的背景下，82.9%的参与者对在临床环境中开发和应用机器人技术持积极看法。最后，总体而言，参与者对使用机器人持积极态度，并建议在当前情况下使用机器人。
