SPARK学习平台在培养非影像专业住院医师影像结果判读能力中的价值

The value of SPARK learning platform in training residents of non-imaging major to interpret medical images

目的探索SPARK学习平台在培养非影像专业住院医师影像结果判读能力中的价值。方法将211名在放射科专业基地轮转的非影像专业住院医师分为实验组106人和对照组105人。其中实验组采取亚专科堂课+SPARK课程教学模式;对照组采取常规亚专科堂课+书写200份影像诊断报告教学模式,比较两组学员出科时影像结果判读能力考核成绩和良好率,以及不同年级间成绩差异。结果入科时实验组和对照组住院医师影像结果判读成绩分别为60(50,80)分、60(50,70)分,差异无统计学意义(Z=0.87,P>0.05);出科时成绩分别为70(60,80)分、70(50,70)分,差异有统计学意义(Z=4.28,P<0.05)。实验组和对照组出科总成绩良好率分别为41.51%和21.90%,差异有统计学意义(χ^(2)=9.36,P<0.05)。出科时实验组和对照组组内三个年级之间影像结果判读成绩比较,差异均无统计学意义(H分别=3.54、0.43,P均>0.05)。结论SPARK学习平台能够帮助非影像专业住院医师明显提升影像结果判读水平,具有很好的应用价值。

Objective To explore the value of SPARK learning platform in cultivating the image interpretation ability of non-imaging residents.Methods Toally 211 non-imaging residents who rotated in radiology base were divided into experimental group and control group.Among them,106 students in the experimental group received the teaching mode of sub-specialized courses+SPARK course.In the control group,105 students received the conventional teaching mode of sub-specialized courses+200 imaging diagnostic reports.The differences in the assessment scores and good rates of imaging interpretation ability between the two groups were compared and analyzed,as well as the differences between different grades.Results There was no statistical difference in the results of image interpretation between the experimental group and the control group at the beginning of rotation(Z=0.87,P>0.05),with the results of 60(50,80)and 60(50,70).While there was significant statistical difference at the end of rotation(Z=4.28,P<0.05),with the results of 70(60,80)and 70(50,70).The overall good rate of the experimental group and the control group at the end of rotation was 41.51%and 21.90%,respectively,showing a statistically significant difference(χ^(2)=9.36,P<0.05).There was no significant difference in scores of imaging interpreation among different grades in the experimental group and the control group(H=3.54,0.43,P>0.05).Conclusion SPARK learning platform can significantly improve the image interpretation capability of non-imaging residents.