An AI-Driven Predictive Modelling Framework to Analyze and Visualize Blood Product Transactional Data for Reducing Blood Products’ Discards

Rad, Jaber; Cheng, Calvino; Quinn, Jason G.; Abidi, Samina Raza; Liwski, Robert

doi:10.1007/978-3-030-59137-3_18

Cited by 4 publications

(2 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…wastage and daily stockholding, 93 and it is common for forecasting models to be implemented into simulations to estimate the potential benefits of deploying them. [94][95][96][97] In addition to studies supporting ordering, two studies investigated the use of ML to directly address wastage in a hospital blood bank by predicting discards 100 and identifying transaction patterns associated with wastage. 101…”

Section: Hospital Blood Bank Inventory Managementmentioning

confidence: 99%

Machine learning in transfusion medicine: A scoping review

Maynard,

Farrington,

Alimam

et al. 2023

Transfusion

View full text Add to dashboard Cite

Section: Hospital Blood Bank Inventory Managementmentioning

confidence: 99%

Machine learning in transfusion medicine: A scoping review

Maynard,

Farrington,

Alimam

et al. 2023

Transfusion

View full text Add to dashboard Cite

“…Blood product inventory management is a highly complex operation that relies on interpretation of multi-dimensional data including lifecycle-dependent variables such as real-time transactional status of the units, age of the units, discard reasons and lifecycleindependent variables such as blood types, special attributes (e.g., irradiation and phenotyping) and the suppliers [1]. Currently, hospitals and blood suppliers employ a mixture of non-standardized methodologies including paper reporting, spreadsheets, adhoc laboratory information system queries, and often the data is used for month-end reporting rather than near-real-time decision-making.…”

Section: Introductionmentioning

confidence: 99%

Using Interactive Visual Analytics to Optimize in Real-Time Blood Products Inventory at a Blood Bank

Rad

Quinn

Cheng

et al. 2021

Studies in Health Technology and Informatics

Self Cite

View full text Add to dashboard Cite

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 need to reduce wastage by avoiding outdates and improve availability of different blood products. We used advance visualization techniques to design and develop a highly interactive real-time web-based dashboard to monitor the blood product inventory and the on-going blood unit transactions in near-real-time based on analysis of transactional data. Blood transfusion staff use the dashboard to locate units with specific characteristics, investigate the lifecycle of the units, and efficiently transfer units between facilities to minimize outdates.

show abstract