The successful implementation of an automated institution-wide assessment of hemoglobin and ABO typing to dynamically estimate red blood cell inventory requirements.

Abstract:

BACKGROUND:Blood bank inventories must balance adequate supply with minimal outdate rates. The day-to-day practice of ordering red blood cell (RBC) inventory usually involves manually comparing current inventory levels with predetermined thresholds calculated from historical usage and ordering the difference. To date, there have been no published methods for ordering RBC inventory based on laboratory characteristics of admitted patients. STUDY DESIGN AND METHODS:We designed and implemented a blood ordering algorithm to provide a more accurate measure of predicted RBC utilization in our institution. Cerner Command Language (Cerner Millennium) was used to extract and combine historical RBC unit usage, current inventory levels, and system-wide hematology values and blood groups. This report contains a suggested order based on current inventory, historical inventory data, ABO group, and the current "anemia index" for the institution. RESULTS:The mean daily total RBC inventory was significantly reduced after implementation (401.7 units vs. 309.0 units, p < 0.05). There was a significant reduction in monthly RBC outdates in this period (19.1 vs. 8.1, p < 0.05). The age of RBCs at time of transfusion was reduced as well. CONCLUSION:We developed a novel algorithm that automatically generates a suggested RBC inventory order using real-time hospital-wide survey of patient ABO typing, hematology values, and historical data. After implementation of the algorithm we demonstrated a significant reduction in daily inventory levels and RBC outdate rates.

journal_name

Transfusion

journal_title

Transfusion

authors

Quinn J,Campbell C,Gomez A,Kumar-Misir A,Watson S,Liwski D,Covello T,Tennankore KK,Chisholm N,Sadek I,Cheng C

doi

10.1111/trf.15272

subject

Has Abstract

pub_date

2019-07-01 00:00:00

pages

2203-2206

issue

7

eissn

0041-1132

issn

1537-2995

journal_volume

59

pub_type

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