Digitally enabled hemovigilance allows real time response to transfusion reactions

Colleen Villamin, Tonita Bates, Benjamin Mescher, Sandy Benitez, Fernando Martinez, Adriana Knopfelmacher, Mayrin Correa Medina, Kimberly Klein, Amitava Dasgupta, David A. Jaffray, Carol Porter, Welela Tereffe, Luisa Gallardo, James Kelley

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

Background: Transfusion carries a risk of transfusion reaction that is often underdiagnosed due to reliance on passive reporting. The study investigated the utility of digital methods to identify potential transfusion reactions, thus allowing real-time intervention for affected patients. Method: The hemovigilance unit monitored 3856 patients receiving 43,515 transfusions under the hemovigilance program. Retrospective comparison data included 298,498 transfusions. Transfusion medicine physicians designed and validated algorithms in the electronic health record that analyze discrete data, such as vital sign changes, to assign a risk score during each transfusion. Dedicated hemovigilance nurses remotely monitor all patients and perform real-time chart reviews prioritized by risk score. When a reaction is suspected, a hemovigilance trained licensed clinician responds to manage the patient and ensure data collection. Board-certified transfusion medicine physicians reviewed data and classified transfusion reactions under various categories according to the Centers for Disease Control hemovigilance definitions. Results: Transfusion medicine physicians diagnosed 564 transfusion reactions (1.3% of transfusions)—a 524% increase compared to the previous passive reporting. The rapid response provider reached the bedside on average at 12.4 min demonstrating logistic feasibility. While febrile reactions were most diagnosed, recognition of transfusion-associated circulatory overload demonstrated the greatest relative increase. Auditing and education programs further enhanced transfusion reaction awareness. Discussion: The model of digitally-enabled expert real-time review of clinical data that prompts rapid response improved recognition of transfusion reactions. This approach could be applied to other patient deterioration events such as early identification of sepsis.

Original languageEnglish (US)
Pages (from-to)1010-1018
Number of pages9
JournalTransfusion
Volume62
Issue number5
DOIs
StatePublished - May 2022

Keywords

  • non infections
  • transfusion complications
  • transfusion practices (oncology-hematology)

ASJC Scopus subject areas

  • Immunology and Allergy
  • Immunology
  • Hematology

Fingerprint

Dive into the research topics of 'Digitally enabled hemovigilance allows real time response to transfusion reactions'. Together they form a unique fingerprint.

Cite this