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

Medicine

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

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.

Original language	English
Title of host publication	Artificial Intelligence in Medicine - 20th International Conference on Artificial Intelligence in Medicine, AIME 2022, Proceedings
Editors	Martin Michalowski, Syed Sibte Raza Abidi, Samina Abidi
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	436-440
Number of pages	5
ISBN (Print)	9783031093418
DOIs	https://doi.org/10.1007/978-3-031-09342-5_46
Publication status	Published - 2022
Event	20th International Conference on Artificial Intelligence in Medicine, AIME 2022 - Halifax, Canada Duration: Jun 14 2022 → Jun 17 2022

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	13263 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	20th International Conference on Artificial Intelligence in Medicine, AIME 2022
Country/Territory	Canada
City	Halifax
Period	6/14/22 → 6/17/22

Bibliographical note

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

ASJC Scopus Subject Areas

Theoretical Computer Science
General Computer Science

Access to Document

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

Cite this

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. In M. Michalowski, S. S. R. Abidi, & S. Abidi (Eds.), 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. ed. / 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).

Research output: Chapter in Book/Report/Conference proceeding › 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. in M Michalowski, SSR Abidi & S Abidi (eds), 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. In Michalowski M, Abidi SSR, Abidi S, editors, 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. editor / 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

Abstract

Publication series

Conference

Bibliographical note

ASJC Scopus Subject Areas

Access to Document

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