Gestione e Ottimizzazione di risorse ospedaliere attraverso analisi dati, Logic programming e Digital twin

Abstract

GOLD develops a healthcare Digital Twin aimed at optimizing hospital resource management through Answer Set Programming and machine learning. Prototypes have been created for three key challenges: Nuclear Medicine Scheduling (NMS) wich reduces patient waiting times by optimizing machine and resource utilization; Chemotherapy Treatment Scheduling (CTS) wich manages chemotherapy sessions; Nurse Scheduling Problem (NSP) wich improves nurse shift planning. These solutions effectively reduce inefficiencies delivering significant economic and social benefitcs.

Partner

Università degli Studi della Calabria

Site

GOLD