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Artificial 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,…

By the Truvace desk2 min read1 sourcePeer-reviewedTRV-2026-1186· cite & verify
Artificial intelligence and perioperative nurses in error detection during operating room transfers: A simulation-based comparison
USAID, USACE team up to renovate nursing school in Georgia (5138983389) by U.S. Army Corps of Engineers Europe District from Wiesbaden, Germany. Public domain

In brief

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, intermediate, and expert) and a ChatGPT-4o AI model.

The AI component was implemented as a prompt-guided assessment using ChatGPT-4o. Data were collected between September and October 2024 and analyzed using SPSS 26.ResultsWithin this controlled simulation, the most experienced nurse achieved higher scores than the AI model in selected context-sensitive domains, particularly jewelry and site marking.

Main points

  1. BackgroundThe safe and efficient transfer of patients to the operating room is a critical component of surgical care.
  2. 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.
  3. The AI component was implemented as a prompt-guided assessment using ChatGPT-4o.

The problem

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.

The rundown

The AI component was implemented as a prompt-guided assessment using ChatGPT-4o. It was instructed through structured prompts and reference examples to detect errors across five domains: general overview, invasiveness, makeup, jewelry, and site marking.

Sources

  1. Peer-reviewedWORK: A Journal of Prevention, Assessment & Rehabilitation2026-09-23

The debate