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Safety improvement requires data: the case for automation and artificial intelligence during incident reporting.

Craig S Webster
Published in: British journal of anaesthesia (2024)
The reporting of incidents has a long association with safety in healthcare and anaesthesia, yet many incident reporting systems substantially under-report critical events. Better understanding the underlying reasons for low levels of critical incident reporting can allow such factors to be addressed systematically to arrive at a better reporting culture. However, new forms of automation in anaesthesia also provide powerful new approaches to be adopted in the future.
Keyphrases
  • artificial intelligence
  • adverse drug
  • healthcare
  • cardiovascular disease
  • big data
  • machine learning
  • deep learning
  • emergency department
  • patient safety
  • current status