Data in Brief (Jun 2018)

Strategy for 90% autoverification of clinical chemistry and immunoassay test results using six sigma process improvement

  • Edward W. Randell,
  • Garry Short,
  • Natasha Lee,
  • Allison Beresford,
  • Margaret Spencer,
  • Marina Kennell,
  • Zoë Moores,
  • David Parry

Journal volume & issue
Vol. 18
pp. 1740 – 1749

Abstract

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Six Sigma involves a structured process improvement strategy that places processes on a pathway to continued improvement. The data presented here summarizes a project that took three clinical laboratories from autoverification processes that allowed between about 40% to 60% of tests being auto-verified to more than 90% of tests and samples auto-verified. The project schedule, metrics and targets, a description of the previous system and detailed information on the changes made to achieve greater than 90% auto-verification is presented for this Six Sigma DMAIC (Design, Measure, Analyze, Improve, Control) process improvement project.