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 |
|---|---|
| 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) |
|---|---|
| Volume | 9273 |
| ISSN (Print) | 03029743 |
| ISSN (Electronic) | 16113349 |
Conference
| Conference | 17th Portuguese Conference on Artificial Intelligence |
|---|---|
| Abbreviated title | EPIA 2015 |
| Country | Portugal |
| City | Coimbra |
| Period | 8/09/15 → 11/09/15 |
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On the efficient allocation of diagnostic activities in modern imaging departments. / Gatta, Roberto; Vallati, Mauro; Mazzini, Nicola; Kitchin, Diane; Bonisoli, Andrea; Gerevini, Alfonso E.; Valentini, Vincenzo.
Progress in Artificial Intelligence - 17th Portuguese Conference on Artificial Intelligence, EPIA 2015, Proceedings. Vol. 9273 Springer Verlag, 2015. p. 103-109 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9273).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - On the efficient allocation of diagnostic activities in modern imaging departments
AU - Gatta, Roberto
AU - Vallati, Mauro
AU - Mazzini, Nicola
AU - Kitchin, Diane
AU - Bonisoli, Andrea
AU - Gerevini, Alfonso E.
AU - Valentini, Vincenzo
PY - 2015
Y1 - 2015
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84945962931&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-23485-4_10
DO - 10.1007/978-3-319-23485-4_10
M3 - Conference contribution
AN - SCOPUS:84945962931
SN - 9783319234847
VL - 9273
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 103
EP - 109
BT - Progress in Artificial Intelligence - 17th Portuguese Conference on Artificial Intelligence, EPIA 2015, Proceedings
PB - Springer Verlag
ER -