A Novel Tool for Predicting Risk and Empowering Non-Urgent Emergency Department Patients

Research unit

INNOSUISSE

Project number

122.399 IP-LS

Project title

A Novel Tool for Predicting Risk and Empowering Non-Urgent Emergency Department Patients

Texts for this project

	German	French	Italian	English
Key words	-	-	-
Abstract	-	-	-

Category	Text
Key words (English)	Life sciences, Medtech
Abstract (English)	Our mission is to reduce non-urgent emergency readmissions and associated costs by providing patients with remote, dynamic symptom tracking and self-management support. Risk factors for AAU readmissions will be investigated with interpretable machine learning.