Abstract
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 language | English |
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Title of host publication | Progress in Artificial Intelligence - 17th Portuguese Conference on Artificial Intelligence, EPIA 2015, Proceedings |
Publisher | Springer Verlag |
Pages | 103-109 |
Number of pages | 7 |
Volume | 9273 |
ISBN (Print) | 9783319234847 |
DOIs | |
Publication status | Published - 2015 |
Event | 17th Portuguese Conference on Artificial Intelligence - Coimbra, Portugal Duration: 8 Sep 2015 → 11 Sep 2015 Conference number: 17 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 9273 |
ISSN (Print) | 03029743 |
ISSN (Electronic) | 16113349 |
Conference
Conference | 17th Portuguese Conference on Artificial Intelligence |
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Abbreviated title | EPIA 2015 |
Country/Territory | Portugal |
City | Coimbra |
Period | 8/09/15 → 11/09/15 |