Authors
Madeleine Sertic, Jennifer Davenport, Karen Flynn, Colleen Sainato, Ryan Chung, Michael S Gee, Sanjay Saini
Published in
Academic radiology. Nov 11, 2026. Epub Nov 11, 2026.
Abstract
Acute contrast reactions are rare but potentially life-threatening events that require rapid recognition, technical proficiency, and coordinated multidisciplinary team responses. Simulation-based education may address gaps in preparedness for these high-acuity, low-frequency emergencies in radiology departments.
A retrospective educational study of a high-fidelity contrast reaction simulation implemented at a single academic medical center was performed. Participants included radiologists, radiology trainees, technologists, and nursing staff. Following the session, participants completed an anonymous survey assessing realism, clinical applicability, perceived impact on teamwork, technical skills, clinical judgment, and anticipated effects on patient safety using a 5-point Likert scale. Free-text responses were analyzed using thematic analysis.
Ninety-eight participants completed the survey. Across all evaluated domains, more than 90% of respondents rated the simulation as Very Good or Excellent. Participants reported perceived improvements in teamwork and communication, technical and procedural skills, recognition and management of adverse contrast reactions, and application of institutional treatment algorithms. Qualitative analysis identified recurrent themes of improved closed-loop communication, earlier escalation of care, increased familiarity with emergency equipment, and greater self-reported confidence in managing contrast reactions.
A multidisciplinary, simulation-based contrast reaction management program was associated with high learner engagement and perceived improvements in preparedness, teamwork, and patient safety, as per self-reported outcomes. Simulation training represents a feasible and effective strategy for preparing radiology teams to manage high-acuity, low-frequency contrast emergencies.
PMID:
43015204
Bibliographic data and abstract were imported from PubMed on 12 Nov 2026.
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