Long story short: an introduction to the short-term and longterm Six Sigma quality and its importance in laboratory medicine for the management of extra-analytical processes
- PMID: 29909405
- DOI: 10.1515/cclm-2018-0310
Long story short: an introduction to the short-term and longterm Six Sigma quality and its importance in laboratory medicine for the management of extra-analytical processes
Abstract
There is a compelling need for quality tools that enable effective control of the extra-analytical phase. In this regard, Six Sigma seems to offer a valid methodological and conceptual opportunity, and in recent times, the International Federation of Clinical Chemistry and Laboratory Medicine has adopted it for indicating the performance requirements for non-analytical laboratory processes. However, the Six Sigma implies a distinction between short-term and long-term quality that is based on the dynamics of the processes. These concepts are still not widespread and applied in the field of laboratory medicine although they are of fundamental importance to exploit the full potential of this methodology. This paper reviews the Six Sigma quality concepts and shows how they originated from Shewhart's control charts, in respect of which they are not an alternative but a completion. It also discusses the dynamic nature of process and how it arises, concerning particularly the long-term dynamic mean variation, and explains why this leads to the fundamental distinction of quality we previously mentioned.
Keywords: extra-analytical phases; quality control; statistics; total quality management.
Comment in
-
The short story of the long-term Sigma metric: shift cannot be treated as a linear parameter.Clin Chem Lab Med. 2019 Aug 27;57(9):e211-e213. doi: 10.1515/cclm-2018-1139. Clin Chem Lab Med. 2019. PMID: 30817295 No abstract available.
References
-
- Levey S, Jennings ER. The use of control charts in the clinical laboratory. Am J Clin Pathol 1950;20:1059–66.
-
- Henry RJ, Segalove M. Running of standards in clinical chemistry and the use of the control chart. J Clin Pathol 1952;5:305–11.
-
- Plebani M, Sciacovelli L, Aita A. Quality indicators for the total testing process. Clin Lab Med 2017;37:187–205.
-
- Plebani M, Carraro P. Mistakes in a stat laboratory: types and frequency. Clin Chem 1997;43:1348–51.
-
- Sciacovelli L, Plebani M. The IFCC Working Group on laboratory errors and patient safety. Clin Chim Acta 2009;404:79–85.
MeSH terms
LinkOut - more resources
Full Text Sources
Other Literature Sources