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Logic-based Approach and Visualization for the Nuclear Medicine Rescheduling Problem.

Cinzia Marte¹, Marco Mochi², Carmine Dodaro³

¹DeMaCS, University of Calabria, Via P. Bucci, Rende, Cosenza, 87036, Italy. cinzia.marte@unical.it.

Journal of Medical Systems

|November 22, 2025

Summary

This summary is machine-generated.

This study introduces a new method for rescheduling nuclear medicine appointments when emergencies arise. The Answer Set Programming approach effectively manages disruptions, ensuring patient care continuity.

Keywords:

Answer set programming Digital health Logic programming

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Area of Science:

Operations Research
Medical Imaging Informatics

Background:

The Nuclear Medicine Scheduling problem involves complex patient assignments considering diverse medical needs and resource constraints.
Existing scheduling solutions, often based on Answer Set Programming (ASP), may fail when unexpected events like emergencies or resource unavailability occur, necessitating rescheduling.

Purpose of the Study:

To develop and present an ASP-based approach for the Nuclear Medicine Rescheduling problem.
To address the challenge of adapting pre-computed schedules to unforeseen disruptions in nuclear medicine departments.

Main Methods:

The study proposes a novel ASP-based methodology to tackle the Nuclear Medicine Rescheduling problem.
The approach was tested using real-world data from three distinct rescheduling scenarios in an Italian hospital.

Main Results:

The ASP-based rescheduling solution demonstrated satisfying performance even with a significant number of concurrent emergencies and resource unavailability.
Experiments confirmed the efficacy of the proposed method in maintaining operational efficiency under disruptive conditions.

Conclusions:

The developed ASP approach provides an effective solution for the Nuclear Medicine Rescheduling problem.
A web application was designed and implemented to facilitate the practical use of these rescheduling solutions in clinical settings.