Effectiveness of the entire blood transfusion process with and without a clinical decision support system: a retrospective before-and-after study - Report - MDSpire

Effectiveness of the entire blood transfusion process with and without a clinical decision support system: a retrospective before-and-after study

  • By

  • Hongmei Yu

  • Mizhi Wu

  • Chen Huang

  • Hongying Pan

  • June 22, 2026

  • 0 min

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Clinical Report: Assessing the Impact of a Clinical Decision Support System

Background

Blood transfusions are critical interventions in various medical scenarios, yet they carry risks of adverse reactions. This study addresses the need for enhanced documentation and management practices in the transfusion process.

Data Highlights

OutcomeBefore ImplementationAfter ImplementationP-value
Completeness of transfusion records97.1%99.1%< 0.05
Documentation timeIncreasedDecreased< 0.001
Nursing satisfactionDecreasedIncreased< 0.001
Transfusion adverse reactionsReported incidenceStatistically significant difference㱲 = 9.41, P < 0.05; OR = 1.39, 95% CI: 1.13–1.73

Key Findings

  • The CDSS improved the completeness of transfusion documentation from 97.1% to 99.1%.
  • Documentation time for nurses significantly decreased post-implementation.
  • Nursing satisfaction with transfusion record management improved significantly.
  • There was a statistically significant reduction in the incidence of transfusion adverse reactions.

Clinical Implications

The implementation of a CDSS in blood transfusion processes can lead to improved documentation and reduced nursing workload. Enhanced safety measures may also decrease the incidence of adverse transfusion reactions.

Conclusion

The study demonstrates that a closed-loop CDSS can standardize and improve the management of blood transfusions, leading to better outcomes in documentation and patient safety.

Related Resources & Content

  1. Critical Care (Springer), 2025 -- Pitfalls and paradoxes: blood transfusion in 5 public ICU databases
  2. npj Digital Medicine, 2025 -- Mixed methods evaluation of a clinical decision support system to reduce variation in healthcare
  3. JAMA Network Open, 2025 -- Clinical Decision Support Systems and Blood Pressure Control—One Piece of a Larger Puzzle
  4. Frontiers in Neurology, 2026 -- Development of an automated machine learning-based prediction model and interactive tool for blood transfusion requirements in patients with severe traumatic brain injury
  5. Red Blood Cell Transfusion in Critically Ill Adults: An American College of Chest Physicians Clinical Practice Guideline - PubMed
  6. Transfusion thresholds and other strategies for guiding red blood cell transfusion - PubMed
  7. Blood transfusion safety: correct patient identification is essential | The BMJ
  8. Red Blood Cell Transfusion in Critically Ill Adults: An American College of Chest Physicians Clinical Practice Guideline - PubMed
  9. Transfusion thresholds and other strategies for guiding red blood cell transfusion - PubMed
  10. Blood transfusion safety: correct patient identification is essential | The BMJ

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