Timeliness “at a glance”: assessing the turnaround time through the six sigma metrics

Almost thirty years of systematic analysis have proven the turnaround time to be a fundamental dimension for the clinical laboratory. Several indicators are to date available to assess and report quality with respect to timeliness, but they sometimes lack the communicative immediacy and accuracy. The six sigma is a paradigm developed within the industrial domain for assessing quality and addressing goal and issues. The sigma level computed through the Z-score method is a simple and straightforward tool which delivers quality by a universal dimensionless scale and allows to handle non-normal data. Herein we report our preliminary experience in using the sigma level to assess the change in urgent (STAT) test turnaround time due to the implementation of total automation. We found that the Z-score method is a valuable and easy to use method for assessing and communicating the quality level of laboratory timeliness, providing a good correspondence with the actual change in efficiency which was retrospectively observed.

[1]  Jane A. Linderbaum,et al.  2013 ACCF/AHA guideline for the management of ST-elevation myocardial infarction: a report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines. , 2013, Journal of the American College of Cardiology.

[2]  Kenneth E. Blick Providing critical laboratory results on time, every time to help reduce emergency department length of stay: how our laboratory achieved a Six Sigma level of performance. , 2013, American journal of clinical pathology.

[3]  Mario Plebani,et al.  Quality indicators in laboratory medicine: a fundamental tool for quality and patient safety. , 2013, Clinical biochemistry.

[4]  P. J. Howanitz,et al.  Laboratory results. Timeliness as a quality attribute and strategy. , 2001, American journal of clinical pathology.

[5]  Lorne L Holland,et al.  Reducing laboratory turnaround time outliers can reduce emergency department patient length of stay: an 11-hospital study. , 2005, American journal of clinical pathology.

[6]  Sergio Bernardini,et al.  Total Automation for the Core Laboratory , 2016, Journal of laboratory automation.

[7]  Mustafa Serteser,et al.  Six Sigma as a Quality Management Tool: Evaluation of Performance in Laboratory Medicine , 2010 .

[8]  D Nevalainen,et al.  Evaluating laboratory performance on quality indicators with the six sigma scale. , 2000, Archives of pathology & laboratory medicine.

[9]  Davis R. Bothe Measuring Process Capability: Techniques and Calculations for Quality and Manufacturing Engineers , 1997 .