Objective: To explore the application effect of the artificial intelligence-based (AI-based) perioperative safety verification system in the performance of safety verification execution in urological and general surgeries.
Methods: The surgical checklists of 141 urological and general surgical patients from September to December 2019 in Hangzhou Children's Hospital were selected as the control group, and 71 surgical checklists for urological and general surgeries that the applied AI-based perioperative safety verification system from August to September 2022 were chosen as the experimental group. We compared the execution rate and standardization rate of safety verification as well as the satisfaction of surgeons, nurses, and anesthesiologists between the two groups.
Results: The execution rate and standardization rate of surgical safety verification in the experimental group were higher than those in the control group (both P<0.05). In addition, the satisfaction of surgeons, nurses, and anesthesiologists was also higher in the experimental group (all P<0.05).
Conclusion: The AI-based perioperative safety verification system can improve the execution and standardization rates of surgical verifications, and also enhance the satisfaction of surgical participants.
Keywords: Urological surgery; artificial intelligence-based perioperative safety verification system; satisfaction; standardization rate; surgical verification.
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