Study on the effect of high-fidelity intelligent simulator combined with scenario simulation in emergency response training of radiology department
10.3760/cma.j.cn116021-20241211-02094
- VernacularTitle:高仿真智能模拟人联合情景模拟在放射科应急培训中的效果研究
- Author:
Zhengting ZHU
1
;
Yuping ZHENG
;
Manli CHENG
;
Yang LIU
;
Xueqiu YAN
;
Li REN
;
Haibo QU
;
Huayan XU
;
Yun WANG
;
Gang NING
Author Information
1. 四川大学华西第二医院放射科护理单元,成都 610041
- Publication Type:Journal Article
- Keywords:
Department of radiology;
Scenario simulation;
High-fidelity intelligent simulator;
Emergency response training
- From:
Chinese Journal of Medical Education Research
2025;24(9):1158-1163
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the application effect of high-fidelity intelligent simulator combined with scenario simulation for emergency response training in the Department of Radiology, and to improve the emergency preparedness of medical, nursing, and technical staff in managing contrast agent adverse reactions.Methods:From January to July 2024, 132 medical, nursing, and technical staff from the Department of Radiology of a tertiary hospital in Chengdu City, China were selected as the training subjects. The high-fidelity intelligent simulator combined with scenario simulation teaching mode was used to conduct emergency response training for the participants. The differences in theoretical knowledge and post competence regarding contrast agent adverse reactions among the staff were compared before and after the training. A self-made questionnaire was used to investigate their needs and satisfaction of the emergency response training. SPSS 26.0 was used for data analysis. The differences in theoretical knowledge and post competence scores before and after training were compared using the paired samples t test. Results:After the training, the average score of theoretical knowledge examination increased from (84.32±10.19) points to (90.34±7.87) points, and the difference was statistically significant ( P<0.001). After the training, the scores of knowledge reserve, operational skills, situational decision-making ability, professional literacy, comprehensive literacy, and overall post competency were all significantly higher than those before the training ( P<0.05). The satisfaction score of emergency response training was (4.17±0.25) points. Conclusions:High-fidelity intelligent simulator combined with scenario simulation training improved the emergency preparedness and teamwork of radiology staff in clinical emergencies. The training received high recognition and satisfaction from the participants, which is of great significance for clinical emergency response and patient safety.