Optimizing electronic blood ordering and supporting administration workflows to improve blood utilization in the pediatric hospital setting

Author:

Stoffel Michelle123ORCID,Leu Michael G.2456,Barry Dwight7,Hrachovec Jennifer48,Saifee Nabiha H.19ORCID,Migita Darren S.48,Deam Nate710,Villavicencio Carlos E.256,O'Hare M. Pauline48,Pagliarulo Amy911,Delaney Meghan1213ORCID

Affiliation:

1. Department of Laboratory Medicine and Pathology University of Washington Seattle Washington USA

2. Department of Biomedical Informatics and Medical Education University of Washington Seattle Washington USA

3. Department of Laboratory Medicine & Pathology University of Minnesota Minneapolis Minnesota USA

4. Clinical Effectiveness Seattle Children's Hospital Seattle Washington USA

5. Department of Pediatrics University of Washington Seattle Washington USA

6. Department of Information Technology Services University of Washington School of Medicine Seattle Washington USA

7. Clinical Analytics Seattle Children's Hospital Seattle Washington USA

8. Center for Quality and Patient Safety Seattle Children's Hospital Seattle Washington USA

9. Department of Laboratories Seattle Children's Hospital Seattle Washington USA

10. Analytics Children's Minnesota Minneapolis Minnesota USA

11. Iovance Biotherapeutics San Carlos California USA

12. Division of Pathology and Laboratory Medicine Children's National Hospital Washington DC USA

13. Department of Pathology and Pediatrics George Washington University Medical School Washington DC USA

Abstract

AbstractBackgroundRed 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.MethodsA 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.ResultsChangepoint 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.DiscussionOur 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.

Publisher

Wiley

Subject

Hematology,Immunology,Immunology and Allergy

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