Literature DB >> 31036280

Decision Support in Transfusion Medicine and Blood Banking.

Neil K Shah1.   

Abstract

Clinical decision support (CDS) can greatly enhance patient blood management through optimizing ordering and providing patient-specific information. At present, modeling and prediction have small roles in inventory management; they will likely have increasing applications to help guide donor center collections based on real-time demand to meet more dispersed needs. Transfusion side-effects management for both donor and recipients is an area ripe for intervention by CDS to enable proactive actions. Last, CDS and broader prediction will 1 day function alongside and seamlessly along many of our major processes to create a human-computer symbiosis.
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Decision support; Modeling; Patient blood management; Prediction; Transfusion

Mesh:

Year:  2019        PMID: 31036280     DOI: 10.1016/j.cll.2019.01.006

Source DB:  PubMed          Journal:  Clin Lab Med        ISSN: 0272-2712            Impact factor:   1.935


  1 in total

1.  Reduction of Platelet Outdating and Shortage by Forecasting Demand With Statistical Learning and Deep Neural Networks: Modeling Study.

Authors:  Maximilian Schilling; Lennart Rickmann; Gabriele Hutschenreuter; Cord Spreckelsen
Journal:  JMIR Med Inform       Date:  2022-02-01
  1 in total

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