AI-enabled assistive decision-making of epilepsy patient discharge in emergency departments

Project overview

This project aims to improve decision-making for patient disposition – whether to discharge or admit – addressing a complex process marked by significant variability in current practice. With a focus on neurodegenerative conditions such as epilepsy, where multiple comorbidities and associated factors add further complexity, it seeks to support more consistent, informed clinical decisions.

Project team

  • Dr. Deval Mehta (Monash University, Faculty of Information Technology)
  • Dr. Noushin Chini Foroush (Monash University, Faculty of Medicine, Nursing and Health Sciences)
  • Prof. Patrick Kwan (Monash University, Faculty of Medicine, Nursing and Health Sciences)

Funding source

Anita Castan Foundation Future MedTech Leaders Program

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