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

Producción científica: Capítulo en Libro/Reporte/Acta de conferencia › Contribución a la conferencia

Resumen

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.

Idioma original	English
Título de la publicación alojada	Artificial Intelligence in Medicine - 20th International Conference on Artificial Intelligence in Medicine, AIME 2022, Proceedings
Editores	Martin Michalowski, Syed Sibte Raza Abidi, Samina Abidi
Editorial	Springer Science and Business Media Deutschland GmbH
Páginas	436-440
Número de páginas	5
ISBN (versión impresa)	9783031093418
DOI	https://doi.org/10.1007/978-3-031-09342-5_46
Estado	Published - 2022
Evento	20th International Conference on Artificial Intelligence in Medicine, AIME 2022 - Halifax, Canada Duración: jun. 14 2022 → jun. 17 2022

Serie de la publicación

Nombre	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen	13263 LNAI
ISSN (versión impresa)	0302-9743
ISSN (versión digital)	1611-3349

Conference

Conference	20th International Conference on Artificial Intelligence in Medicine, AIME 2022
País/Territorio	Canada
Ciudad	Halifax
Período	6/14/22 → 6/17/22

Nota bibliográfica

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

ASJC Scopus Subject Areas

Theoretical Computer Science
General Computer Science

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

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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. En 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).

Producción científica: Capítulo en Libro/Reporte/Acta de conferencia › Contribución a la conferencia

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. En 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. En Michalowski M, Abidi SSR, Abidi S, editores, 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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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.",

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

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