aceArtificial intelligence and perioperative nurses in error detection during operating room transfers: A simulation-based comparison
BackgroundThe safe and efficient transfer of patients to the operating room is a critical component of surgical care. The growing integration of artificial intelligence (AI) in healthcare introduces new possibilities for enhancing clinical decision-making.ObjectiveThis study compared the performance of AI and perioperative nurses with varying experience levels in identifying errors during the preoperative patient transfer process.MethodsA controlled simulation study was conducted involving three nurses (novice,…
The growing integration of artificial intelligence (AI) in healthcare introduces new possibilities for enhancing clinical decision-making.ObjectiveThis study compared the performance of AI and perioperative nurses with varying experience levels in identifying errors during the preoperative patient transfer process.MethodsA controlled simulation study was conducted involving three nurses (novice, intermediate, and expert) and a ChatGPT-4o AI model.
Evidence
- Peer-reviewedWORK: A Journal of Prevention, Assessment & Rehabilitation2026-09-23
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Truvace Impact Record TRV-2026-1186, v1: “Artificial intelligence and perioperative nurses in error detection during operating room transfers: A simulation-based comparison.” Truvace, 2026-09-26. /record/TRV-2026-1186 (accessed at citation time). sha256 ebbbcd5810d43aae…
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