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

doi:10.1007/978-3-319-23485-4_10

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 proceeding › Conference contribution › peer-review

2 Citations (Scopus)

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	https://doi.org/10.1007/978-3-319-23485-4_10
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/Territory	Portugal
City	Coimbra
Period	8/09/15 → 11/09/15

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Gatta, R., Vallati, M., Mazzini, N., Kitchin, D., Bonisoli, A., Gerevini, A. E., & Valentini, V. (2015). On the efficient allocation of diagnostic activities in modern imaging departments. In Progress in Artificial Intelligence - 17th Portuguese Conference on Artificial Intelligence, EPIA 2015, Proceedings (Vol. 9273, pp. 103-109). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9273). Springer Verlag. https://doi.org/10.1007/978-3-319-23485-4_10

Gatta, Roberto ; Vallati, Mauro ; Mazzini, Nicola et al. / On the efficient allocation of diagnostic activities in modern imaging departments. Progress in Artificial Intelligence - 17th Portuguese Conference on Artificial Intelligence, EPIA 2015, Proceedings. Vol. 9273 Springer Verlag, 2015. pp. 103-109 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "On the efficient allocation of diagnostic activities in modern imaging departments",

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.",

author = "Roberto Gatta and Mauro Vallati and Nicola Mazzini and Diane Kitchin and Andrea Bonisoli and Gerevini, {Alfonso E.} and Vincenzo Valentini",

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Gatta, R, Vallati, M, Mazzini, N, Kitchin, D, Bonisoli, A, Gerevini, AE & Valentini, V 2015, On the efficient allocation of diagnostic activities in modern imaging departments. in Progress in Artificial Intelligence - 17th Portuguese Conference on Artificial Intelligence, EPIA 2015, Proceedings. vol. 9273, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9273, Springer Verlag, pp. 103-109, 17th Portuguese Conference on Artificial Intelligence, Coimbra, Portugal, 8/09/15. https://doi.org/10.1007/978-3-319-23485-4_10

On the efficient allocation of diagnostic activities in modern imaging departments. / Gatta, Roberto; Vallati, Mauro; Mazzini, Nicola et al.

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 › peer-review

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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

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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.

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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Gatta R, Vallati M, Mazzini N, Kitchin D, Bonisoli A, Gerevini AE et al. On the efficient allocation of diagnostic activities in modern imaging departments. In 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)). doi: 10.1007/978-3-319-23485-4_10

On the efficient allocation of diagnostic activities in modern imaging departments

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