Healthcare Optimization
IOLab develops optimization methods for coordinating healthcare services and resources while accounting for operational efficiency, quality of care, and the needs of patients and healthcare professionals.
Our work includes patient admission scheduling, where patients are assigned to beds while considering clinical requirements, comfort, emergency arrivals, uncertain lengths of stay, and the possibility of delaying admissions. We also study home healthcare routing and scheduling, jointly planning caregivers’ routes, visits, skills, continuity of care, and patient preferences.
In emergency medicine, the group collaborated with ASUFC within EasyNet to build a data-driven simulator of the Friuli Centrale emergency medical system and optimization models for ambulance location and relocation.
These strands were brought together in IMHO, a PRIN project on models and algorithms for integrated healthcare management. The group publishes benchmark instances, generators, validators, and reference methods through the UHHC repositories.
Sara Ceschia
Associate Professor of Operations Research
My research interests include local search algorithms for combinatorial optimization problems in the field of logistics, healthcare, timetabling and scheduling.
Luca Di Gaspero
Associate Professor of Information Technology · Director of IOLab
Director of IOLab. He develops intelligent optimization methods and decision-support systems, from metaheuristics and hybrid algorithms to large language models.
Andrea Schaerf
Full Professor of Information Technology
Working on Optimization from an AI perspective.