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

Title:
Logic-based Approach and Visualization for the Nuclear Medicine Rescheduling Problem.
Authors:
Marte C; DeMaCS, University of Calabria, Via P. Bucci, Rende, Cosenza, 87036, Italy. cinzia.marte@unical.it., Mochi M; Surgiq srl, Via XII Ottobre 1, Genova, 16100, Italy., Dodaro C; DeMaCS, University of Calabria, Via P. Bucci, Rende, Cosenza, 87036, Italy., Galatà G; Surgiq srl, Via XII Ottobre 1, Genova, 16100, Italy., Maratea M; DeMaCS, University of Calabria, Via P. Bucci, Rende, Cosenza, 87036, Italy.
Source:
Journal of medical systems [J Med Syst] 2025 Nov 22; Vol. 49 (1), pp. 167. Date of Electronic Publication: 2025 Nov 22.
Publication Type:
Journal Article
Language:
English
Journal Info:
Publisher: Kluwer Academic/Plenum Publishers Country of Publication: United States NLM ID: 7806056 Publication Model: Electronic Cited Medium: Internet ISSN: 1573-689X (Electronic) Linking ISSN: 01485598 NLM ISO Abbreviation: J Med Syst Subsets: MEDLINE
Imprint Name(s):
Publication: 1999- : New York, NY : Kluwer Academic/Plenum Publishers
Original Publication: New York, Plenum Press.
References:
J Am Coll Radiol. 2020 Jul;17(7):882-889. (PMID: 32473108)
Comput Math Methods Med. 2018 Apr 11;2018:5148215. (PMID: 29849748)
BMC Health Serv Res. 2016 Dec 1;16(1):679. (PMID: 27905957)
J Med Syst. 2000 Apr;24(2):61-76. (PMID: 10895421)
Acad Radiol. 1994 Oct;1(2):164-70. (PMID: 9419482)
Contributed Indexing:
Keywords: Answer set programming; Digital health; Logic programming
Entry Date(s):
Date Created: 20251122 Date Completed: 20251122 Latest Revision: 20251125
Update Code:
20260130
PubMed Central ID:
PMC12640325
DOI:
10.1007/s10916-025-02301-0
PMID:
41273449
Database:
MEDLINE

Weitere Informationen

The Nuclear Medicine Scheduling problem consists of assigning patients to a day, on which the patient will undergo the medical check, the preparation, and the actual image detection process. The schedule of the patients should consider their different requirements and the available resources, e.g., varying time required for different diseases and radiopharmaceuticals used, number of injection chairs, and tomographs available. Recently, this problem has been solved using a logic-based approach using the Answer Set Programming (ASP) methodology. However, it may be the case that a computed schedule can not be implemented due to a sudden emergency and/or unavailability of resources, thus rescheduling is needed. In this paper, we present an ASP-based approach to solve such a situation, which we call the Nuclear Medicine Rescheduling problem. Experiments on three scenarios in which rescheduling may be needed, and employing real data from a medium size hospital in Italy, show that our rescheduling solution provides satisfying results even when the concurrent number of emergencies and unavailability is significant. We finally present the design and implementation of a web application for the easy usage of our solutions.
(© 2025. The Author(s).)

Declarations. Ethics Declaration: Not applicable. Consent to Participate Declaration: Not applicable. Competing Interest: The authors declare no competing interests.