Literature DB >> 4061386

Automatic prediction of platelet utilization by time series analysis in a large tertiary care hospital.

G C Critchfield, D P Connelly, M S Ziehwein, L S Olesen, C E Nelson, E P Scott.   

Abstract

The authors investigated the potential of various time series models to aid in the prediction of platelet utilization patterns at the authors' institution. During a seven-week feasibility study, prediction accuracy of time series models was slightly inferior to that of an experienced platelet transfusion coordinator. The models that adjusted for day-of-the-week variability were superior to simpler models in a prospective evaluation over a three-month period. Conversion to a time series model for platelet utilization prediction has resulted in significant savings in personnel costs for management of platelet concentrate inventory in the blood bank. Outdate rates have been lower than those achieved by the platelet transfusion coordinator, with no sacrifice in availability occurring during the evaluation period.

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Year:  1985        PMID: 4061386     DOI: 10.1093/ajcp/84.5.627

Source DB:  PubMed          Journal:  Am J Clin Pathol        ISSN: 0002-9173            Impact factor:   2.493


  2 in total

1.  Big data modeling to predict platelet usage and minimize wastage in a tertiary care system.

Authors:  Leying Guan; Xiaoying Tian; Saurabh Gombar; Allison J Zemek; Gomathi Krishnan; Robert Scott; Balasubramanian Narasimhan; Robert J Tibshirani; Tho D Pham
Journal:  Proc Natl Acad Sci U S A       Date:  2017-10-09       Impact factor: 11.205

2.  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
  2 in total

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