Department of Computational Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, US.
UCLA SwabSeq COVID19 Laboratory, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, US.
Lab Med. 2022 Jan 6;53(1):e8-e13. doi: 10.1093/labmed/lmab069.
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.
We implemented procedures to increase efficiency by applying the Lean Six Sigma model into our sequencing-based COVID-19 detection.
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.
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.
描述和量化质量控制 (QC) 指标对提高检测效率的影响，该实验室为高复杂度经临床实验室改进修正案认证的实验室，使用基于扩增子的下一代测序技术进行 SARS-CoV-2 的临床检测。为了在没有完全自动化平台的情况下能够每天快速扩展到数千个样本，我们开发了内部 QC 方法以确保高精度检测。
我们通过将精益六西格玛模型应用于我们的基于测序的 COVID-19 检测中，实施了提高效率的程序。
精益六西格玛模型的应用通过减少错误提高了实验室效率，使得在最小人员配置的情况下能够满足更高的测试量。此外，这些改进还缩短了周转时间。
精益六西格玛模型的执行通过减少关键测试错误提高了实验室效率，并为实验室未来每天扩展到 50000 次测试做好了准备。
