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Crowding in the emergency department in the absence of boarding - a transition regression model to predict departures and waiting time.

Andreas Halgreen EisetHans KirkegaardMogens Erlandsen
Published in: BMC medical research methodology (2019)
We present a transition regression model with high predictive power to predict departures from the ED utilising only system level data. We use this to present estimates of expected waiting time and ultimately crowding in the ED. The model shows good internal validity though further studies are needed to determine generalisability to the performance in other settings.
Keyphrases
  • emergency department
  • machine learning
  • big data
  • data analysis
  • case control
  • drug induced