Transfusion Safety Officer ECU Health Winterville, North Carolina
Proposed Session Description: Transfusion Safety Officers (TSOs) and Patient Blood Management (PBM) coordinators face expanding audit, governance, and communication responsibilities that compete with proactive transfusion safety work and contribute to documentation burden. While artificial intelligence (AI) is increasingly discussed in transfusion medicine, practical, governed applications demonstrating measurable productivity gains and preserved clinical accountability remain limited. This interprofessional session presents results from a single‑center quality improvement pilot evaluating the use of enterprise‑approved generative AI tools to support nonclinical administrative and communication tasks within a large, multi‑hospital health system. Use cases included drafting PBM committee meeting minutes from structured notes, generating executive summaries, creating first‑draft policies and job aids, and developing unit‑specific education scripts. The session will describe the governance framework used to support safe adoption, including authenticated enterprise access, exclusion of protected health information, mandatory human verification, and final editorial accountability. Productivity outcomes demonstrated substantial reductions in preparation time for PBM documentation and enabled more consistent executive communication without use of patient data. The session will emphasize how governed AI use can restore capacity for proactive transfusion safety activities and support interprofessional collaboration across laboratory, nursing, physician, quality, and administrative teams. Attendees will gain practical insight into a replicable model for responsible AI adoption that aligns efficiency, oversight, and patient safety in resource‑constrained environments.
Learning Objectives:
Analyze sources of administrative and documentation burden affecting Transfusion Safety Officers and Patient Blood Management teams across interprofessional workflows.
Evaluate productivity and communication outcomes associated with governed use of enterprise‑approved generative AI for nonclinical PBM and transfusion safety tasks.
Apply governance principles—including privacy controls, human verification, and role‑based accountability—to safely integrate AI tools into interprofessional transfusion safety operations.
Compare traditional documentation workflows with AI‑assisted processes to determine opportunities for improved efficiency, collaboration, and consistency across laboratory, nursing, and physician teams.
Design a replicable, team‑based approach for responsible AI adoption that supports transfusion safety, operational reliability, and patient‑centered outcomes.
