期刊
FRONTIERS IN MEDICAL TECHNOLOGY
卷 4, 期 -, 页码 -出版社
FRONTIERS MEDIA SA
DOI: 10.3389/fmedt.2022.969203
关键词
diagnostic; COVID-19; high-throughput; automation; SARS-coV-2
资金
- University of Edinburgh SFC-GCRF Covid-19 Fund
- British Council [527429894]
- Engineering and Physical Sciences Research Council [2260830]
- National Council of Science and Technology
- YLSY program of the Ministry of National Education of Turkey
The COVID-19 pandemic is a global challenge, and automation testing is crucial for high-throughput screening and efficient diagnosis. Case studies in China, Spain, and the UK have proven the effectiveness of automation in mass testing.
The COVID-19 pandemic has become a global challenge for the healthcare systems of many countries with 6 million people having lost their lives and 530 million more having tested positive for the virus. Robust testing and a comprehensive track and trace process for positive patients are essential for effective pandemic control, leading to high demand for diagnostic testing. In order to comply with demand and increase testing capacity worldwide, automated workflows have come into prominence as they enable high-throughput screening, faster processing, exclusion of human error, repeatability, reproducibility and diagnostic precision. The gold standard for COVID-19 testing so far has been RT-qPCR, however, different SARS-CoV-2 testing methods have been developed to be combined with high throughput testing to improve diagnosis. Case studies in China, Spain and the United Kingdom have been reviewed and automation has been proven to be promising for mass testing. Free and Open Source scientific and medical Hardware (FOSH) plays a vital role in this matter but there are some challenges to be overcome before automation can be fully implemented. This review discusses the importance of automated high-throughput testing, the different equipment available, the bottlenecks of its implementation and key selected case studies that due to their high effectiveness are already in use in hospitals and research centres.
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