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A Potassium-Based Quality-of-Service Metric Reduces Phlebotomy Errors, Resulting in Improved Patient Safety and Decreased Cost.

Jennifer A WoyachDouglas A MataMatthew B GreenblattJanet MeansPetr Jarolim
Published in: American journal of clinical pathology (2022)
A quality-of-service algorithm that involved monitoring potassium concentrations on a per-phlebotomist basis with feedback and retraining contributed to a concrete, data-based quality improvement plan. The institution-wide implementation of this metric allowed for significant cost savings and a reduction in critical value alerts, directly affecting the quality of patient care.
Keyphrases
  • quality improvement
  • patient safety
  • healthcare
  • mental health
  • machine learning
  • primary care
  • emergency department
  • electronic health record