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Outlier identification and monitoring of institutional or clinician performance: an overview of statistical methods and application to national audit data.

Menelaos PavlouGareth AmblerRumana Z OmarAndrew T GoodwinUday TrivediPeter LudmanMark de Belder
Published in: BMC health services research (2023)
If the common-mean assumption is likely to hold, all three methods are appropriate to use for outlier detection and their results should be similar. Random effect methods may be the preferred approach when the common-mean assumption is likely to be violated.
Keyphrases
  • electronic health record
  • big data
  • machine learning