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Magnitude of extra-analytical errors and associated factors in medical laboratories in thirteen Public Hospitals in Addis Ababa, Ethiopia.

Cheru DegfeOusman Mohammed
Published in: SAGE open medicine (2023)
This study discovered errors in the pre-analytical (60.3%) and post-analytical (39.7%) phases, and none of the requisition papers had complete data. This frequency may be affected by workload, a lack of written procedures, the number of years of work experience, and the level of education of the staff.
Keyphrases
  • healthcare
  • liquid chromatography
  • adverse drug
  • patient safety
  • electronic health record
  • mental health
  • big data
  • quality improvement
  • emergency department
  • machine learning
  • deep learning
  • drug induced
  • long term care