2021
DOI: 10.1002/jcla.23804
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COVID‐19‐another influential event impacts on laboratory medicine management

Abstract: Before the coronavirus disease 2019 (COVID-19) pandemic, laboratory medicine management activities mainly remain inside of the laboratory, including reagent and instrument maintenance, daily quality assessment, errors elimination, turnaround time reduction, etc. The development process is briefly divided into several distinct phases, including standardization of biological reference material, 1,2 introduction of quality control, 3,4 establishment of standard operating procedures, 5,6 laboratory automation, and… Show more

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Cited by 11 publications
(6 citation statements)
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“…No matter from foreign or domestic research, there have been some related academic papers on data mining technology and its application in network monitoring in the field of big data, but on the whole, there are still few related studies, lacking systematic and in-depth research. Luo et al think in one article: big data has triggered a reexamination of scientific research methodology and is triggering a revolution in scientific research thinking and methods [10]. Yang et al put forward in a paper: data mining helps network monitoring and guidance to choose the path, including network association analysis, network level division, network clustering, and network tendency analysis, and analyzed the practical value of network monitoring and guidance in the view of data mining [11].…”
Section: Related Workmentioning
confidence: 99%
“…No matter from foreign or domestic research, there have been some related academic papers on data mining technology and its application in network monitoring in the field of big data, but on the whole, there are still few related studies, lacking systematic and in-depth research. Luo et al think in one article: big data has triggered a reexamination of scientific research methodology and is triggering a revolution in scientific research thinking and methods [10]. Yang et al put forward in a paper: data mining helps network monitoring and guidance to choose the path, including network association analysis, network level division, network clustering, and network tendency analysis, and analyzed the practical value of network monitoring and guidance in the view of data mining [11].…”
Section: Related Workmentioning
confidence: 99%
“…Laboratory professionals were one of the many dedicated workforces that continued to work throughout the COVID‐19 pandemic, supporting their medical and healthcare colleagues and the public by ensuring that they had access to sample testing and reporting rapidly. While this was commendable, with governments and the public providing some support, this clearly impacted laboratory staff's mental health and well‐being, with some countries reporting staff burnout and fatigue 5,6 . Biolab was aware of this issue and proactively provided staff with enhanced support and working conditions to ensure staff were protected and supported throughout the pandemic.…”
Section: Resultsmentioning
confidence: 99%
“…Additionally, a key finding of this assessment is that as NIC redirected their efforts towards testing SARS‐CoV‐2, it directly impacted the quality of testing for influenza 11,12 . Those laboratories participating in the GISRS/EQAP showed strong performance in SARS‐CoV‐2 detection (93% concordance) but a lower EQA concordance result for influenza (80% concordance).…”
Section: Discussionmentioning
confidence: 99%
“…Additionally, a key finding of this assessment is that as NIC redirected their efforts towards testing SARS-CoV-2, it directly impacted the quality of testing for influenza. 11,12 Those laboratories participating in the GISRS/EQAP showed strong performance in SARS-CoV-2 detection (93% concordance) but a lower EQA concordance result for influenza (80% concordance). This is to be expected, as constraints in equipment, human resources, and reagents will impact on the ability of an institution to run high-throughput testing of a priority pathogen, such as SARS-CoV-2, without an expected impact on other testing programs.…”
Section: Whomentioning
confidence: 99%