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Lean Principles to Improve Quality in High-Throughput COVID-19 Testing Using SwabSeq: A Barcoded Sequencing-Based Testing Platform

OBJECTIVE: To describe and quantify the effect of quality control (QC) metrics to increase testing efficiency in a high-complexity, Clinical Laboratory Improvement Amendments–certified laboratory that uses amplicon-based, next generation sequencing for the clinical detection of SARS-CoV-2. To enable...

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Detalles Bibliográficos
Autores principales: Jones, Janae, Saul, Rosita, Sathe, Laila, Xie, Joanna, Marquette, Dawn, Arboleda, Valerie A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8499806/
https://www.ncbi.nlm.nih.gov/pubmed/34436601
http://dx.doi.org/10.1093/labmed/lmab069
Descripción
Sumario:OBJECTIVE: To describe and quantify the effect of quality control (QC) metrics to increase testing efficiency in a high-complexity, Clinical Laboratory Improvement Amendments–certified laboratory that uses amplicon-based, next generation sequencing for the clinical detection of SARS-CoV-2. To enable rapid scalability to several thousands of specimens per day without fully automated platforms, we developed internal QC methods to ensure high-accuracy testing. METHODS: We implemented procedures to increase efficiency by applying the Lean Six Sigma model into our sequencing-based COVID-19 detection. RESULTS: The application of the Lean Six Sigma model increased laboratory efficiency by reducing errors, allowing for a higher testing volume to be met with minimal staffing. Furthermore, these improvements resulted in an improved turnaround time. CONCLUSION: Lean Six Sigma model execution has increased laboratory efficiency by decreasing critical testing errors and has prepared the laboratory for future scaling up to 50,000 tests per day.