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Patient-Focused Laboratory Quality?The Fundamentals: 1. Understanding Quality

 	 Patient-Focused Laboratory Quality—The Fundamentals: 1. Understanding Quality
  • Copyright: 2014

Price: $75.00

Member Price: $75.00

Rating: Member Average


This introductory course focuses on how lab results impact patient care, what can cause 'bad' results and how well-designed QC processes detect changes before 'bad' results are reported.

After successful completion, you will be able to describe, practice, and demonstrate competence to:

  • Categorize changes in method accuracy or precision as "clinically-significant" change that may cause patient harm or "clinically-insignificant" change that does not impact clinical decision making.
  • Use a lookup table to predict the % of results expected to fall within or beyond specified SD limits of the mean-- on a Gaussian curve and Q.C. chart.
  • Describe why Q.C. Charts are limited to the detection of changes in accuracy or precision; why they do not assess method bias, or ability to meet performance standards.
  • Relate clinical consequences to patients to method errors with Accuracy, Precision, Reference intervals, Reportable Ranges, Specificity, and Sensitivity.
  • List clinical consequences of false positive or false negative patient results (too far below or above their true value to be clinically meaningful).
  • Use a Q.C. Simulator to model the impact of changes in method accuracy or precision.
  • Create case studies to illustrate why a 2-SD shift always looks the same on the QC chart but may be a change for the better or it may create clinically-unacceptable results.
  • Identify patterns on Q.C. charts as changes in accuracy or precision.
  • Describe probable causes of changes in method accuracy or precision.
  • Use simple math you can do in your head to calculate bias and total error.
  • Compare Total Error to TEa Limits to assess ability of methods to meet performance standards and acceptability to report patient results.