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An error management system in a veterinary clinical laboratory.

Emma Hooijberg1, Ernst Leidinger, Kathleen P Freeman

  • 1Invitro Laboratory for Veterinary Diagnostics and Hygiene, Vienna, Austria. emma.hooijberg@invitro.at

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Implementing an error management system in veterinary labs reduced error rates significantly, with preanalytical errors being the most common. This system demonstrably improves laboratory quality over time.

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Area of Science:

  • Veterinary Diagnostics
  • Clinical Laboratory Science
  • Quality Management Systems

Background:

  • Error recording and management are crucial for clinical laboratory quality.
  • Analyzing errors drives corrective actions and process improvements.
  • Laboratory errors are categorized as preanalytical, analytical, or postanalytical.

Purpose of the Study:

  • Introduce an error management system in a veterinary diagnostic laboratory.
  • Examine the quantity and types of errors recorded from 2003 to 2010.
  • Compare veterinary laboratory error data with human diagnostic laboratories.

Main Methods:

  • Reviewed annual error reports from an established error recording system.
  • Calculated annual error rates per total number of samples.
  • Categorized errors (preanalytical, analytical, postanalytical, other) and examined frequencies.
  • Calculated sigma metrics for error categories.

Main Results:

  • Annual error rates decreased from 1.3% in 2003 to 0.7% in 2010.
  • Preanalytical errors constituted the majority (52-77%), followed by postanalytical (9-21%), analytical (4-14%), and other (6-19%).
  • Sigma metrics ranged from 4.1 to 4.7, comparable to human clinical laboratories.

Conclusions:

  • The implemented error management system led to a measurable annual reduction in laboratory errors.
  • Veterinary diagnostic laboratory error profiles are comparable to those in human clinical laboratories.
  • Continuous error management is effective for enhancing overall laboratory quality.