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SafeNET: Initial development and validation of a real-time tool for predicting mortality risk at the time of hospital transfer to a higher level of care.

Stefanie C Altieri DunnJohanna E BellonAndrew BilderbackJeffrey D BorrebachJacob C HodgesMary Kay WisniewskiMatthew E HarinsteinTamra E MinnierJoel B NelsonDaniel E Hall
Published in: PloS one (2021)
The SafeNET algorithm is feasible and valid for real-time, bedside mortality risk prediction at the time of hospital transfer. Work is ongoing to build pathways triggered by this score that direct needed resources to the patients at greatest risk of poor outcomes.
Keyphrases
  • healthcare
  • acute care
  • palliative care
  • adverse drug
  • deep learning
  • quality improvement
  • risk factors
  • pain management
  • type diabetes
  • cardiovascular disease
  • chronic pain
  • weight loss