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Predictive Dispatch of Volunteer First Responders: Algorithm Development and Validation.

Michael KhalemskyAnna KhalemskyStephen E LankenauJanna AtaiantsAlexis M RothGabriela MarcuDavid G Schwartz
Published in: JMIR mHealth and uHealth (2023)
VFR dispatch has evolved in the last decades, thanks to technological advances and a better understanding of VFR management. The dispatch of substitute responders is a common approach in VFR systems. Predicting the response behavior of candidate responders in advance of dispatch can allow any VFR system to choose the best possible response candidates based not only on ETA but also on the probability of actual response. The integration of the probability to respond into the dispatch algorithm constitutes a new generation of individual dispatch, making this one of the first studies to harness the power of predictive analytics for VFR dispatch. Our findings can help VFR network administrators in their continual efforts to improve the response times of their networks and to save lives.
Keyphrases
  • emergency medical
  • machine learning
  • deep learning
  • big data
  • quality improvement