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Six Sigma
Six Sigma, like Lean, is used to improve the quality and efficiency of operational processes. During the past decade, these process improvement techniques increasingly have been applied outside of the manufacturing sector, for example, in healthcare.
While Lean focuses on identifying ways to streamline processes and reduce waste, Six Sigma aims predominantly to make processes, such as those used in clinical laboratories and pathology group labs, more uniform and precise through the application of statistical methods.
Along with Lean, this process improvement technique has become popular with labs as a way to streamline laboratory processes, reduce costs, increase productivity, and improve quality in a time when labs are increasingly pressured by downward price trends for lab tests. At the same time, labs are able to increase value offered to “customers,” that is, patients.
The principles of a Six Sigma-based system were originally developed by Bill Smith of Motorola in 1986 as a way of eliminating defects in manufacturing, where a defect is understood to be a product or process that fails to meet customers’ expectations and requirements. The name refers to a quality level defined as the near-perfect defect rate of 3.4 defects per million opportunities. As a process improvement strategy, it gained much attention through its association with General Electric and its former CEO Jack Welsh.
Six Sigma also involves the training and certification of designated process specialists (called black belts, green belts, or other similar titles) within organizations to help guide Six Sigma improvement efforts. Other distinctive features include the expectation that process quality improvements be translated into financial metrics to assess value and the active involvement of top management in all initiatives.
Six Sigma is often combined with Lean management techniques to produce a methodology that relies on a collaborative team effort to improve performance by systematically removing waste (Lean) as well as defects, overproduction, waiting, non-utilized talent, transportation, inventory, motion and extra-processing (Six Sigma).
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CURRENT ISSUE
Volume XXXII, No. 9 – June 23, 2025
In part one of an analysis about the state of AI in clinical laboratories, The Dark Report explores how frontline workers, especially younger ones, are using AI tools like ChatGPT far more than lab leaders. Recent reports elsewhere in the business world show executives underestimate staff AI use, raising concerns about a leadership gap in tech adoption. Clinical lab leaders must get more familiar with AI use cases. Also, in this issue of The Dark Report, there is discussion on how Medicaid cuts may affect clinical labs, an examination of the lab industry fallout from CLIAC termination, an analysis of AMP’s reports that provide crucial insights for Hiring Managers, and notes that regional health systems are new dominant players in M&A.
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