2023
DOI: 10.3389/bjbs.2023.11266
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A Review of Clinical Laboratory Education, Training and Progression: Historical Challenges, the Impact of COVID-19 and Future Considerations

Abstract: The COVID-19 pandemic had a wide global impact on society, including the clinical laboratory workforce. This historically underrepresented group of highly skilled professionals have now started to gain the attention they deserve. There had already been dramatic changes to laboratory training over the past 2 decades resulting from advances in technology, changes to service needs, and as a consequence of Pathology reform initiatives. The pandemic has had an additional impact. Higher education institutions and st… Show more

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Cited by 3 publications
(2 citation statements)
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“…The emergence of high-throughput technologies and big data in biomedicine mandates proficiency in advanced computational methods, including bioinformatics, statistical analysis, and machine learning. These tools empower researchers to process and analyze extensive datasets, such as genomic sequences and proteomic profiles, revealing intricate biological mechanisms and disease pathways (246,247).…”
Section: Computational Tools and Data Analysis Techniquesmentioning
confidence: 99%
“…The emergence of high-throughput technologies and big data in biomedicine mandates proficiency in advanced computational methods, including bioinformatics, statistical analysis, and machine learning. These tools empower researchers to process and analyze extensive datasets, such as genomic sequences and proteomic profiles, revealing intricate biological mechanisms and disease pathways (246,247).…”
Section: Computational Tools and Data Analysis Techniquesmentioning
confidence: 99%
“…It created a watershed relating to the hegemony of physical teaching over distance learning. The barriers and challenges of such "emergency delivery" of educational programmes have been extensively reported [18], particularly in relation to the training and final year research project assessments of students enrolled in biomedical science degree programmes [19,20].…”
Section: Introductionmentioning
confidence: 99%