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Novel web-based real-time dashboard to optimize recycling and use of red cell units at a large multi-site transfusion service

BACKGROUND: Effective blood inventory management reduces outdates of blood products. Multiple strategies have been employed to reduce the rate of red blood cell (RBC) unit outdate. We designed an automated real-time web-based dashboard interfaced with our laboratory information system to effectively...

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Autores principales: Sharpe, Christopher, Quinn, Jason G, Watson, Stephanie, Doiron, Donald, Crocker, Bryan, Cheng, Calvino
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4204298/
https://www.ncbi.nlm.nih.gov/pubmed/25337432
http://dx.doi.org/10.4103/2153-3539.141989
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author Sharpe, Christopher
Quinn, Jason G
Watson, Stephanie
Doiron, Donald
Crocker, Bryan
Cheng, Calvino
author_facet Sharpe, Christopher
Quinn, Jason G
Watson, Stephanie
Doiron, Donald
Crocker, Bryan
Cheng, Calvino
author_sort Sharpe, Christopher
collection PubMed
description BACKGROUND: Effective blood inventory management reduces outdates of blood products. Multiple strategies have been employed to reduce the rate of red blood cell (RBC) unit outdate. We designed an automated real-time web-based dashboard interfaced with our laboratory information system to effectively recycle red cell units. The objective of our approach is to decrease RBC outdate rates within our transfusion service. METHODS: The dashboard was deployed in August 2011 and is accessed by a shortcut that was placed on the desktops of all blood transfusion services computers in the Capital District Health Authority region. It was designed to refresh automatically every 10 min. The dashboard provides all vital information on RBC units, and implemented a color coding scheme to indicate an RBC unit's proximity to expiration. RESULTS: The overall RBC unit outdate rate in the 7 months period following implementation of the dashboard (September 2011-March 2012) was 1.24% (123 units outdated/9763 units received), compared to similar periods in 2010-2011 and 2009-2010: 2.03% (188/9395) and 2.81% (261/9220), respectively. The odds ratio of a RBC unit outdate postdashboard (2011-2012) compared with 2010-2011 was 0.625 (95% confidence interval: 0.497-0.786; P < 0.0001). CONCLUSION: Our dashboard system is an inexpensive and novel blood inventory management system which was associated with a significant reduction in RBC unit outdate rates at our institution over a period of 7 months. This system, or components of it, could be a useful addition to existing RBC management systems at other institutions.
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spelling pubmed-42042982014-10-21 Novel web-based real-time dashboard to optimize recycling and use of red cell units at a large multi-site transfusion service Sharpe, Christopher Quinn, Jason G Watson, Stephanie Doiron, Donald Crocker, Bryan Cheng, Calvino J Pathol Inform Research Article BACKGROUND: Effective blood inventory management reduces outdates of blood products. Multiple strategies have been employed to reduce the rate of red blood cell (RBC) unit outdate. We designed an automated real-time web-based dashboard interfaced with our laboratory information system to effectively recycle red cell units. The objective of our approach is to decrease RBC outdate rates within our transfusion service. METHODS: The dashboard was deployed in August 2011 and is accessed by a shortcut that was placed on the desktops of all blood transfusion services computers in the Capital District Health Authority region. It was designed to refresh automatically every 10 min. The dashboard provides all vital information on RBC units, and implemented a color coding scheme to indicate an RBC unit's proximity to expiration. RESULTS: The overall RBC unit outdate rate in the 7 months period following implementation of the dashboard (September 2011-March 2012) was 1.24% (123 units outdated/9763 units received), compared to similar periods in 2010-2011 and 2009-2010: 2.03% (188/9395) and 2.81% (261/9220), respectively. The odds ratio of a RBC unit outdate postdashboard (2011-2012) compared with 2010-2011 was 0.625 (95% confidence interval: 0.497-0.786; P < 0.0001). CONCLUSION: Our dashboard system is an inexpensive and novel blood inventory management system which was associated with a significant reduction in RBC unit outdate rates at our institution over a period of 7 months. This system, or components of it, could be a useful addition to existing RBC management systems at other institutions. Medknow Publications & Media Pvt Ltd 2014-09-30 /pmc/articles/PMC4204298/ /pubmed/25337432 http://dx.doi.org/10.4103/2153-3539.141989 Text en Copyright: © 2014 Hartman DJ. http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Sharpe, Christopher
Quinn, Jason G
Watson, Stephanie
Doiron, Donald
Crocker, Bryan
Cheng, Calvino
Novel web-based real-time dashboard to optimize recycling and use of red cell units at a large multi-site transfusion service
title Novel web-based real-time dashboard to optimize recycling and use of red cell units at a large multi-site transfusion service
title_full Novel web-based real-time dashboard to optimize recycling and use of red cell units at a large multi-site transfusion service
title_fullStr Novel web-based real-time dashboard to optimize recycling and use of red cell units at a large multi-site transfusion service
title_full_unstemmed Novel web-based real-time dashboard to optimize recycling and use of red cell units at a large multi-site transfusion service
title_short Novel web-based real-time dashboard to optimize recycling and use of red cell units at a large multi-site transfusion service
title_sort novel web-based real-time dashboard to optimize recycling and use of red cell units at a large multi-site transfusion service
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4204298/
https://www.ncbi.nlm.nih.gov/pubmed/25337432
http://dx.doi.org/10.4103/2153-3539.141989
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