From Event Review to Predictive Safety: How Transfusion Safety Officers Use Data to Prevent the Next Transfusion Error

Proposed Session Description: Many transfusion safety programs remain reactive, relying on retrospective event review after patient harm or regulatory exposure rather than identifying early deviation signals that predict risk. This interprofessional session describes how Transfusion Safety Officers (TSOs) can shift transfusion safety from reactive review to proactive, data‑driven prevention by leveraging routinely captured operational data already available in most health systems.
The session presents a two‑center quality improvement implementation conducted at academic Level I trauma centers within large, complex healthcare systems. Discrete data sources included specimen rejection and mislabeling codes, barcode scanning compliance from blood product administration systems, nursing documentation timestamps, blood bank modification logs, and massive transfusion protocol audits. These data were integrated into dashboards with predefined escalation thresholds and rapid intervention pathways, enabling timely multidisciplinary responses such as targeted huddles, workflow redesign, focused re‑education, and competency reinforcement.
Results demonstrate how early signal detection supported measurable reductions in blood product waste, improved compliance with transfusion safety processes, and faster event closure without increases in transfusion reactions or incompatibility events. By illustrating how laboratory, nursing, physician, quality, and leadership teams use shared data to anticipate and mitigate risk, this session provides a scalable framework for predictive transfusion safety. Attendees will gain practical insight into transforming transfusion operations data into actionable safety intelligence that improves team performance, system reliability, and patient outcomes.