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Applying the human factors analysis and classification system to critical incident reports in anaesthesiology.

Christopher NeuhausMatthias HuckGötz HofmannMichael St PierreMarkus A WeigandChristoph Lichtenstern
Published in: Acta anaesthesiologica Scandinavica (2018)
We applied the HFACS taxonomy to the analysis of CIRS reports in anaesthesiology. This constitutes a structured approach that, especially when applied to a large data set, might help guide future mitigation and intervention strategies to reduce critical incidents and improve patient safety. Improved, more structured reporting templates could further optimize systematic analysis.
Keyphrases
  • patient safety
  • quality improvement
  • adverse drug
  • cardiovascular disease
  • climate change
  • emergency department
  • electronic health record
  • machine learning
  • artificial intelligence
  • data analysis