On the efficient allocation of diagnostic activities in modern imaging departments

Roberto Gatta, Mauro Vallati, Nicola Mazzini, Diane Kitchin, Andrea Bonisoli, Alfonso E. Gerevini, Vincenzo Valentini

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)


In a modern Diagnostic Imaging Department, managing the schedule of exams is a complex task. Surprisingly, it is still done mostly manually, without a clear, explicit and formally defined objective or target function to achieve. In this work we propose an efficient approach for optimising the exploitation of available resources. In particular, we provide an objective function, that considers the aspects that have to be optimised, and introduce a two-steps approach for scheduling diagnostic activities. Our experimental analysis shows that the proposed technique can easily scale on large and complex Imaging Departments, and generated allocation plans have been positively evaluated by human experts.

Original languageEnglish
Title of host publicationProgress in Artificial Intelligence - 17th Portuguese Conference on Artificial Intelligence, EPIA 2015, Proceedings
PublisherSpringer Verlag
Number of pages7
ISBN (Print)9783319234847
Publication statusPublished - 2015
Event17th Portuguese Conference on Artificial Intelligence - Coimbra, Portugal
Duration: 8 Sep 201511 Sep 2015
Conference number: 17

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)03029743
ISSN (Electronic)16113349


Conference17th Portuguese Conference on Artificial Intelligence
Abbreviated titleEPIA 2015


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