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Chinese Journal of Hygiene Rescue(Electronic Edition) ›› 2025, Vol. 11 ›› Issue (04): 238-243. doi: 10.3877/cma.j.issn.2095-9133.2025.04.011

Special Issue:

• Original Article • Previous Articles    

Evaluation of the effect of DeepSeek's practical application in emergency and disaster medicine teaching

lin Liu1,2, Huahua Zhang3, Min Yang3, Mingru Zhang3, Yinsha Miao3, Zijun He3, Zhe Zhao1,2, Jinshan Ji3, Jin Wang3, Jiming Han3,()   

  1. 1Department of Respiratory and Critical Care Medicine, the Second Medical Center, PLA General Hospital, Beijing 100000, China
    2National Clinical Research Center for Geriatrics, Beijing 100000, China
    3School of Medicine, Yan'an University, Yanan 716000, China
  • Received:2025-07-20 Online:2025-08-18 Published:2025-10-24
  • Contact: Jiming Han

Abstract:

Objective

To explore the application effect of the teaching mode of combining DeepSeek and traditional method in the emergency and disaster teaching in medical colleges.

Methods

Two classes of third-year undergraduate students majoring in clinical medicine in Yan'an University were randomly selected and divided into a traditional teaching group (n=53) and a DeepSeek teaching group (n=30) according to different teaching plans. Students in the traditional teaching group received conventional teaching methods, while those in the DeepSeek group were taught using curriculum plans generated by DeepSeek that aligned with the teaching syllabus and met students' actual needs, with question banks developed specifically for core knowledge points. At the end of the semester, the two groups were compared in terms of theoretical scores, practical skills results, and teacher-student satisfaction evaluations.

Results

Both groups of students underwent assessments, scoring, and a teaching satisfaction questionnaire at the end of the semester. Students in the DeepSeek group achieved higher theoretical scores than those in the traditional teaching group in pre-hospital emergency care (82.00 vs 74.00, Z=-7.02), emergency symptoms (90.00 vs 87.00, Z=-5.68), life support (89.00 vs 83.00, Z=-7.03), acute and critical diseases of the respiratory system (83.00 vs 78.00, Z=-6.23), and acute and critical diseases of the cardiovascular system (85.00 vs 75.00, Z=-7.70), with statistically significant differences (P<0.05). In terms of practical skills, the DeepSeek group also received significantly higher ratings than the traditional teaching group in tracheal intubation (4.53±0.63 vs 3.85±0.66, t=4.59) and thoracic puncture (4.46±0.72 vs 3.75±0.70, t=4.39), with statistically significant differences (P<0.05). Additionally, both teachers and students expressed higher satisfaction with the DeepSeek teaching model, and the difference was statistically significant (P<0.05).

Conclusion

In the emergency teaching for undergraduate clinical majors, the implementation of the DeepSeek teaching model can improve teaching quality, enhance students' initiative, and increase the satisfaction of both teachers and students, making it worthy of promotion and application.

Key words: Artificial intelligence, Emergency and disaster teaching, Medical theory, Effect evaluation

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