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机器人能否提高新冠病毒的检测能力?

Can Robots Improve Testing Capacity for SARS-CoV-2?

作者信息

Cresswell Kathrin, Ramalingam Sandeep, Sheikh Aziz

机构信息

The University of Edinburgh, Edinburgh, United Kingdom.

出版信息

J Med Internet Res. 2020 Aug 12;22(8):e20169. doi: 10.2196/20169.

Abstract

There is currently increasing interest internationally in deploying robotic applications for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) testing, as these can help to reduce the risk of transmission of the virus to health care staff and patients. We provide an overview of key recent developments in this area. We argue that, although there is some potential for deploying robots to help with SARS-CoV-2 testing, the potential of patient-facing applications is likely to be limited. This is due to the high costs associated with patient-facing functionality, and risks of potentially adverse impacts on health care staff work practices and patient interactions. In contrast, back-end laboratory-based robots dealing with sample extraction and amplification, that effectively integrate with established processes, software, and interfaces to process samples, are much more likely to result in safety and efficiency gains. Consideration should therefore be given to deploying these at scale.

摘要

目前,国际上对部署机器人应用于严重急性呼吸综合征冠状病毒2(SARS-CoV-2)检测的兴趣日益浓厚,因为这有助于降低病毒传播给医护人员和患者的风险。我们概述了该领域近期的关键进展。我们认为,尽管部署机器人协助SARS-CoV-2检测有一定潜力,但面向患者的应用潜力可能有限。这是由于与面向患者功能相关的高成本,以及对医护人员工作实践和患者互动可能产生不利影响的风险。相比之下,基于后端实验室的机器人处理样本提取和扩增,能有效与既定流程、软件和接口集成以处理样本,更有可能带来安全性和效率的提升。因此,应考虑大规模部署这些机器人。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2e9b/7450371/d45c8954b0db/jmir_v22i8e20169_fig1.jpg

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