ABSTRACT
From July to August 2021, 60 medical staff and general practice trainees in primary care institutions were randomly assigned in two groups with 30 in each group. The control group received conventional ECG training and the study group received ECG training with artificial intelligence image recognition system. The quantitative assessment was conducted before and 2 months after training. There was no significant difference in baseline scores between two groups (43.33±9.94 vs. 44.33±10.33, P>0.005); while the scores of the study group was significantly higher than that of the control group after training (76.00±11.92 vs. 68.00±9.61, P<0.05). Compared with the control group, the correct rates of atrial fibrillation/atrial flutter, sinus arrhythmia and atrioventricular block in study group were significantly higher than those in control group (100.0% vs. 70.0%, 96.7% vs. 73.3%, 86.7% vs. 43.3%; all P<0.05). It is suggested that the application of artificial intelligence ECG recognition system can significantly increase the teaching effect in primary medical training.
ABSTRACT
Objective:To explore the teaching effect of 12-lead electrocardiogram (ECG) interpretation based on self-drawing method.Methods:This study recruited 489 students from 10 classes of clinical medicine major of Shandong Medical College as research objects. They were divided into control group and experimental group. Theoretical teaching and traditional practical training were adopted to the control group while theoretical teaching and self-drawing method were adopted to the experimental group. The ECG test scores, the number of students with excellent performance and the ECG scores of the final exam were compared between the two groups. Questionnaires were issued to assess the effect of different teaching methods on students. SPSS 25.0 was used for t test and chi-square test. Results:Compared with the experimental group, the results of the ECG special test, the number of excellent students and the ECG scores of the final exam in the control group all decreased, and the difference was statistically significant ( P<0.01). The results of the questionnaire showed that the experimental group had higher mastery of ECG abnormal patterns, learning initiative, self-confidence and better satisfaction with the overall teaching of ECG ( P<0.01). Conclusion:The practical training based on self-drawing method can improve ECG interpretation skills, learning initiative and self-confidence of students, which has achieved good teaching effect.