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Use of a novel electronic maternal surveillance system to generate automated alerts on the labor and delivery unit.

Thomas T KlumpnerJoanna A KountanisElizabeth S LangenRoger D SmithKevin K Tremper
Published in: BMC anesthesiology (2018)
This novel electronic maternal surveillance system is designed to reduce cognitive bias and improve timely clinical recognition of maternal deterioration. The automated paging algorithm developed for this software dramatically reduces paging frequency compared to paging for isolated vital sign abnormalities alone. Long-term, prospective studies will be required to determine its impact on patient outcomes.
Keyphrases
  • machine learning
  • birth weight
  • deep learning
  • pregnancy outcomes
  • public health
  • high throughput
  • weight gain
  • physical activity
  • weight loss
  • data analysis