Optimizing electronic blood ordering and supporting administration workflows to improve blood utilization in the pediatric hospital setting.
blood utilization
clinical decision support
electronic ordering
wastage
Journal
Transfusion
ISSN: 1537-2995
Titre abrégé: Transfusion
Pays: United States
ID NLM: 0417360
Informations de publication
Date de publication:
Dec 2023
Dec 2023
Historique:
revised:
04
09
2023
received:
08
05
2023
accepted:
08
09
2023
medline:
7
12
2023
pubmed:
9
11
2023
entrez:
9
11
2023
Statut:
ppublish
Résumé
Red blood cell wastage occurs when blood is discarded rather than transfused, and ineffective ordering results in unnecessary crossmatch procedures. We describe how a multimodal approach to redesigning electronic ordering tools improved blood utilization in a pediatric inpatient setting and how using innovative application of time series data analysis provides insights into intervention effectiveness, which can guide future process improvement cycles. A multidisciplinary team used best practices and Toyota Production System methodology to redesign electronic blood ordering and improve administration processes. We analyzed crossmatch to transfusion ratio and red blood cell wastage time series data extracted from our laboratory information system and electronic health record. We used changepoint analysis to identify statistically discernible breaks in each time series, compatible with known interventions. We performed causal impact analysis on red blood cell wastage time series data to estimate blood wastage avoided due to the interventions. Changepoint analysis estimated an 11% decrease in crossmatch to transfusion ratio and a 77% decrease in red blood cell monthly wastage rate during the intervention period. Causal impact analysis estimated a 61% reduction in expected wastage compared to the scenario if the interventions had not occurred. Our results show that electronic health record design is an important factor in reducing waste and preventing unnecessary crossmatching, and that time series analysis can be a useful tool for evaluating the long-term impact of each stage of intervention in a longitudinal process redesign effort for the purpose of effectively targeting future improvement efforts.
Sections du résumé
BACKGROUND
BACKGROUND
Red blood cell wastage occurs when blood is discarded rather than transfused, and ineffective ordering results in unnecessary crossmatch procedures. We describe how a multimodal approach to redesigning electronic ordering tools improved blood utilization in a pediatric inpatient setting and how using innovative application of time series data analysis provides insights into intervention effectiveness, which can guide future process improvement cycles.
METHODS
METHODS
A multidisciplinary team used best practices and Toyota Production System methodology to redesign electronic blood ordering and improve administration processes. We analyzed crossmatch to transfusion ratio and red blood cell wastage time series data extracted from our laboratory information system and electronic health record. We used changepoint analysis to identify statistically discernible breaks in each time series, compatible with known interventions. We performed causal impact analysis on red blood cell wastage time series data to estimate blood wastage avoided due to the interventions.
RESULTS
RESULTS
Changepoint analysis estimated an 11% decrease in crossmatch to transfusion ratio and a 77% decrease in red blood cell monthly wastage rate during the intervention period. Causal impact analysis estimated a 61% reduction in expected wastage compared to the scenario if the interventions had not occurred.
DISCUSSION
CONCLUSIONS
Our results show that electronic health record design is an important factor in reducing waste and preventing unnecessary crossmatching, and that time series analysis can be a useful tool for evaluating the long-term impact of each stage of intervention in a longitudinal process redesign effort for the purpose of effectively targeting future improvement efforts.
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
2328-2340Informations de copyright
© 2023 The Authors. Transfusion published by Wiley Periodicals LLC on behalf of AABB.
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