| Literature DB >> 28153373 |
Abstract
Laboratory quality control has been developed for several decades to ensure patients' safety, from a statistical quality control focus on the analytical phase to total laboratory processes. The sigma concept provides a convenient way to quantify the number of errors in extra-analytical and analytical phases through the defect per million and sigma metric equation. Participation in a sigma verification program can be a convenient way to monitor analytical performance continuous quality improvement. Improvement of sigma-scale performance has been shown from our data. New tools and techniques for integration are needed.Entities:
Keywords: Defect per million (DPM); Individualized quality control plan (IQCP); Laboratory processes; Risk management; Sigma metrics; Sigma verification program (SVP); Statistical quality control (SQC)
Mesh:
Year: 2016 PMID: 28153373 DOI: 10.1016/j.cll.2016.09.009
Source DB: PubMed Journal: Clin Lab Med ISSN: 0272-2712 Impact factor: 1.935