The ASP methodology has been recognized to be a viable solution to many practical applications, including scheduling problems, and in particular in the healthcare domain, of high interest in this period given the COVID-19 pandemic, where ASP proved to be an effective solution to some interesting problems. In this paper we present an overview of scheduling problems in the healthcare domain that have been successfully solved via ASP in the last two years. Starting from two”basic” problems, i.e., referred to the scheduling of operating rooms in presence of scarce resources (e.g., ICU beds) and the Nurse Scheduling problem, we show how we have improved such solutions, and mention further problems we have dealt with, including the Chemotherapy Scheduling problem. On top of all problems, we are working on providing explainability features, of utmost importance in this field, that for the moment are being instantiated on a single problem.

Answer set programming in healthcare: Extended overview / Alviano, Mario; Bertolucci, Riccardo; Cardellini, Matteo; Dodaro, Carmine; Galatà, Giuseppe; Muhammad, Khan; Maratea, Marco; Mochi, Marco; Morozan, Victoria; Porro, Ivan; Schouten, Marco. - 2745:(2020). (Intervento presentato al convegno Joint 8th Italian Workshop on Planning and Scheduling and the 27th International Workshop on Experimental Evaluation of Algorithms for Solving Problems with Combinatorial Explosion, IPS-RCRA 2020 tenutosi a Virtual event nel November 25-27, 2020).

Answer set programming in healthcare: Extended overview

Cardellini, Matteo;
2020

Abstract

The ASP methodology has been recognized to be a viable solution to many practical applications, including scheduling problems, and in particular in the healthcare domain, of high interest in this period given the COVID-19 pandemic, where ASP proved to be an effective solution to some interesting problems. In this paper we present an overview of scheduling problems in the healthcare domain that have been successfully solved via ASP in the last two years. Starting from two”basic” problems, i.e., referred to the scheduling of operating rooms in presence of scarce resources (e.g., ICU beds) and the Nurse Scheduling problem, we show how we have improved such solutions, and mention further problems we have dealt with, including the Chemotherapy Scheduling problem. On top of all problems, we are working on providing explainability features, of utmost importance in this field, that for the moment are being instantiated on a single problem.
2020
File in questo prodotto:
File Dimensione Formato  
C1.pdf

accesso aperto

Tipologia: 2a Post-print versione editoriale / Version of Record
Licenza: Creative commons
Dimensione 373.8 kB
Formato Adobe PDF
373.8 kB Adobe PDF Visualizza/Apri
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2971553