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Computerized continuous quality improvement methods used to optimize blood transfusions

R M Gardner1, P D Christiansen, K E Tate

  • 1Department of Medical Informatics, LDS Hospital, University of Utah, Salt Lake City.

Proceedings. Symposium on Computer Applications in Medical Care
|January 1, 1993
PubMed
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A computerized system effectively minimized unnecessary blood transfusions by alerting physicians to inappropriate orders. This quality improvement initiative balanced transfusion practices, reducing overtransfusion and addressing undertransfusion risks.

Area of Science:

  • Medicine
  • Healthcare Informatics
  • Quality Improvement

Background:

  • Blood transfusions, while essential, carry inherent risks and costs.
  • National focus on optimizing transfusion practices to avoid both overtransfusion and undertransfusion is increasing.
  • Achieving optimal patient care necessitates a balance in red blood cell transfusion management.

Purpose of the Study:

  • To implement and evaluate a computerized system designed to minimize overtransfusion.
  • To assess and address the issue of undertransfusion in patient care.
  • To leverage continuous quality improvement (CQI) methods for optimizing blood transfusion protocols.

Main Methods:

  • A computerized alerting system was developed to prompt physicians when blood transfusion orders did not meet established criteria.

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  • Continuous quality improvement methodologies were employed to refine transfusion practices.
  • Undertransfusions were evaluated by identifying patients who did not receive indicated red cell transfusions based on hemoglobin or hematocrit levels.

    • Main Results:

    • The computerized alerting system successfully minimized overtransfusions of red blood cells.
    • A reduction in both the mean Hematocrit and its standard deviation was observed, aligning with CQI predictions.
    • Undertransfusion was identified as a minimal issue, readily manageable through the laboratory alerting system.

    Conclusions:

    • Computerized alerting systems are effective tools for reducing overtransfusion and improving blood ordering practices.
    • CQI principles can successfully optimize transfusion management, leading to more consistent patient outcomes.
    • The implemented system provides a robust method for balancing transfusion needs and minimizing associated risks.