Abstract:

Objective To explore the application effects of Generative Artificial Intelligence（Gen AI） in case design training for novice simulation instructors in ICUs. Methods In August 2024，40 ICU nurses participating in case design training for novice simulation instructors in ICUs at a hospital were randomly divided into an experimental group（n=20） and a control group（n=20） using a random number table method. The control group manually designed a simulation case after receiving theoretical training and assessments. In addition to receiving the same theoretical training and assessments as the control group，the experimental group underwent training on the use of Gen AI in simulation case design and designed a simulation case using Gen AI. The time taken for case design，training satisfaction scores，and case quality scores were compared between the two groups. Results The experimental group took（56.20±9.35） minutes for case design，which was shorter than the（181.35±22.13） minutes of the control group（P<0.05）. The training satisfaction score of the experimental group was 10（9，10），which was higher than the 9（8，10） of the control group（P<0.05）. In terms of case quality，there were no statistically significant differences between the two groups in scores for the clarity and appropriateness of teaching objectives，the realism and detail of scenarios，and the design of evaluation and feedback mechanisms（P>0.05）. Meanwhile，the control group scored higher than the experimental group in the rationality and logic of scenario design，the scientific soundness and feasibility of interventions，the completeness and practicality of teaching materials，and the alignment of case difficulty to the target learners，with statistically significant differences（P<0.05）. Conclusion Gen AI improves the case design speed of trainees participating in novice simulation instructor training in ICUs and enhances their satisfaction with the training. Gen AI holds great application potential in simulation case design though show no obvious advantages in rigor and professionalism. Further evaluation and review of content are needed when using Gen AI for simulation case design.

Key words: Generative artificial intelligence, Simulation-based teaching, Case design, Teacher training, Intensive care units