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

• Unité de recherche: INNOSUISSE
• Numéro de projet: 122.399 IP-LS
• Titre du projet anglais: A Novel Tool for Predicting Risk and Empowering Non-Urgent Emergency Department Patients

Mots-clé (Anglais)

Life sciences, Medtech

Résumé des résultats (Abstract) (Anglais)

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.