Using Visual Analytics to Optimize Blood Product Inventory at a Hospital’s Blood Transfusion Service

Jaber Rad; Jason Quinn; Calvino Cheng; Samina Raza Abidi; Robert Liwski; Syed Sibte Raza Abidi

doi:10.1007/978-3-031-09342-5_46

Using Visual Analytics to Optimize Blood Product Inventory at a Hospital’s Blood Transfusion Service

Jaber Rad, Jason Quinn, Calvino Cheng, Samina Raza Abidi, Robert Liwski, Syed Sibte Raza Abidi

Medicine

Résultat de recherche: Conference contribution

Résumé

A Blood Transfusion Service (BTS) must manage its inventory to meet clinical demand for blood products, whilst ensuring that there is minimal wastage. Reducing wastage due to discards is challenging as a discard is due to the stochastic lifecycle of the blood unit, as opposed to outdates which are related to the expiry date. In this paper, we present an interactive Blood Inventory Management Dashboard (BIMD) using advanced visual analytics methods to monitor three blood products—i.e., red blood cells, platelets, and plasma—and provide BTS staff information about (a) current inventory with alerts for blood units that are potentially heading for a discard, and (b) retrospective lifecycle patterns of all blood units to probe the underlying causes for discards.

Langue d'origine	English
Titre de la publication principale	Artificial Intelligence in Medicine - 20th International Conference on Artificial Intelligence in Medicine, AIME 2022, Proceedings
Éditeurs	Martin Michalowski, Syed Sibte Raza Abidi, Samina Abidi
Maison d'édition	Springer Science and Business Media Deutschland GmbH
Pages	436-440
Nombre de pages	5
ISBN (imprimé)	9783031093418
DOI	https://doi.org/10.1007/978-3-031-09342-5_46
Statut de publication	Published - 2022
Événement	20th International Conference on Artificial Intelligence in Medicine, AIME 2022 - Halifax, Canada Durée: juin 14 2022 → juin 17 2022

Séries de publication

Prénom	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	13263 LNAI
ISSN (imprimé)	0302-9743
ISSN (électronique)	1611-3349

Conference

Conference	20th International Conference on Artificial Intelligence in Medicine, AIME 2022
Pays/Territoire	Canada
Ville	Halifax
Période	6/14/22 → 6/17/22

Note bibliographique

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

ASJC Scopus Subject Areas

Theoretical Computer Science
General Computer Science

Accès au document

10.1007/978-3-031-09342-5_46

Autres fichiers et liens

Citer

Rad, J., Quinn, J., Cheng, C., Abidi, S. R., Liwski, R., & Abidi, S. S. R. (2022). Using Visual Analytics to Optimize Blood Product Inventory at a Hospital’s Blood Transfusion Service. Dans M. Michalowski, S. S. R. Abidi, & S. Abidi (Éds.), Artificial Intelligence in Medicine - 20th International Conference on Artificial Intelligence in Medicine, AIME 2022, Proceedings (pp. 436-440). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13263 LNAI). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-09342-5_46

Using Visual Analytics to Optimize Blood Product Inventory at a Hospital’s Blood Transfusion Service. / Rad, Jaber; Quinn, Jason; Cheng, Calvino et al.
Artificial Intelligence in Medicine - 20th International Conference on Artificial Intelligence in Medicine, AIME 2022, Proceedings. éd. / Martin Michalowski; Syed Sibte Raza Abidi; Samina Abidi. Springer Science and Business Media Deutschland GmbH, 2022. p. 436-440 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13263 LNAI).

Résultat de recherche: Conference contribution

Rad, J, Quinn, J, Cheng, C, Abidi, SR, Liwski, R & Abidi, SSR 2022, Using Visual Analytics to Optimize Blood Product Inventory at a Hospital’s Blood Transfusion Service. dans M Michalowski, SSR Abidi & S Abidi (éds), Artificial Intelligence in Medicine - 20th International Conference on Artificial Intelligence in Medicine, AIME 2022, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13263 LNAI, Springer Science and Business Media Deutschland GmbH, pp. 436-440, 20th International Conference on Artificial Intelligence in Medicine, AIME 2022, Halifax, Canada, 6/14/22. https://doi.org/10.1007/978-3-031-09342-5_46

Rad J, Quinn J, Cheng C, Abidi SR, Liwski R, Abidi SSR. Using Visual Analytics to Optimize Blood Product Inventory at a Hospital’s Blood Transfusion Service. Dans Michalowski M, Abidi SSR, Abidi S, éditeurs, Artificial Intelligence in Medicine - 20th International Conference on Artificial Intelligence in Medicine, AIME 2022, Proceedings. Springer Science and Business Media Deutschland GmbH. 2022. p. 436-440. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-031-09342-5_46

Rad, Jaber ; Quinn, Jason ; Cheng, Calvino et al. / Using Visual Analytics to Optimize Blood Product Inventory at a Hospital’s Blood Transfusion Service. Artificial Intelligence in Medicine - 20th International Conference on Artificial Intelligence in Medicine, AIME 2022, Proceedings. éditeur / Martin Michalowski ; Syed Sibte Raza Abidi ; Samina Abidi. Springer Science and Business Media Deutschland GmbH, 2022. pp. 436-440 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Using Visual Analytics to Optimize Blood Product Inventory at a Hospital’s Blood Transfusion Service

Résumé

Séries de publication

Conference

Note bibliographique

ASJC Scopus Subject Areas

Accès au document

Autres fichiers et liens

Empreinte numérique

Citer