Using Interactive Visual Analytics to Optimize Blood Products Inventory at a Blood Bank.


Journal

Studies in health technology and informatics
ISSN: 1879-8365
Titre abrégé: Stud Health Technol Inform
Pays: Netherlands
ID NLM: 9214582

Informations de publication

Date de publication:
06 Jun 2022
Historique:
entrez: 8 6 2022
pubmed: 9 6 2022
medline: 10 6 2022
Statut: ppublish

Résumé

Blood products and their derivatives are perishable commodities that require an efficient inventory management to ensure both a low wastage rate and a high product availability rate. To optimize blood product inventory, Blood Transfusion Services (BTS) need to reduce wastage by avoiding outdates and improving availability of different blood products. We took a blood product lifecycle approach and used advanced visualization techniques to design and develop a highly interactive web-based dashboard to audit retrospective data and consequently, to identify and learn from procedural inefficiencies based on analysis of transactional data. We present pertinent scenarios to show how the blood transfusion staff can use the dashboard to investigate blood product lifecycles so as to probe transition sequence patterns that led to wastage as a means to discover causes of procedural inefficiencies in the BTS.

Identifiants

pubmed: 35673081
pii: SHTI220142
doi: 10.3233/SHTI220142
doi:

Types de publication

Journal Article

Langues

eng

Pagination

572-576

Auteurs

Jaber Rad (J)

NICHE Research Group, Faculty of Computer Science, Dalhousie University, Halifax, Canada.

Jason G Quinn (JG)

Department of Pathology and Laboratory Medicine, Nova Scotia Health Authority, Halifax, Canada.

Calvino Cheng (C)

Department of Pathology and Laboratory Medicine, Nova Scotia Health Authority, Halifax, Canada.

Robert Liwski (R)

Department of Pathology and Laboratory Medicine, Nova Scotia Health Authority, Halifax, Canada.

Samina Abidi (S)

NICHE Research Group, Faculty of Computer Science, Dalhousie University, Halifax, Canada.
Department of Community Health and Epidemiology, Dalhousie University, Halifax, Canada.

Syed Sibte Raza Abidi (SSR)

NICHE Research Group, Faculty of Computer Science, Dalhousie University, Halifax, Canada.

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Classifications MeSH