首页|PDCA循环联合LASSO算法在临床医学专升本教学中的应用

PDCA循环联合LASSO算法在临床医学专升本教学中的应用

扫码查看
目的 探讨PDCA循环法联合LASSO算法在专升本临床医学教学中的运用效果,为其他医院的专升本临床医学教育提供借鉴.方法 选取2019年9月—2022年2月贵州医科大学附属白云医院2019级和2020级统招专升本临床医学专业的学生为研究对象,将接受常规教学的2019级学生设置为对照组(n=73),接受PDCA循环教学法的2020级学生设置为观察组(n=58).利用LASSO算法筛选出对"贵州医科大学附属白云医院教学中心"临床医学教学满意度有较大影响的因素,确定现状和改进方向,然后构建PDCA循环教学模式,对比两组理论知识考核成绩和实践技能操作成绩.结果 LASSO回归分析共筛选出12个影响教学质量的影响因素(R2=0.867);观察组3个学期的理论知识考核成绩和实践技能操作成绩均优于对照组,差异有统计学意义(P<0.05).结论 PDCA循环教学法联合LASSO算法能显著提高贵州医科大学附属白云医院临床医学专升本教学质量和学生的学习成绩,可用与临床教学中.
The Application of PDCA Cycle in the Teaching Model of Clinical Medicine Specialization-Based on LASSO Algorithm
Objective To explore the effectiveness of the PDCA cycle teaching method combined LASSO algorithm in teaching clinical medicine in post-secondary schools,and to provide reference for post-secondary clinical medicine education in other hospitals.Methods The research subjects were selected from students at the Affiliated Baiyun Hospital of Guizhou Medical University,between September 2019 and February 2022.The students who received routine teaching in 2019 were designated as the control group(n=73),and those who received the PDCA cycle teaching method in 2020 were designated as the observation group(n=58).The LASSO algorithm was utilized to identify the factors that significantly impact the satisfaction of clinical medical teaching at the Teaching Center of Baiyun Hospital,Affiliated to Guizhou Medical University.The current situation and improvement direction were determined,and a PDCA cycle teaching model was subsequently constructed.The theoretical knowledge assessment scores and practical skills operation scores of both groups were compared.Results LASSO regression analysis identified a total of 12 influencing factors on teaching quality(R2=0.867).The theoretical knowledge assessment scores and practical skills operation scores of the observation group were better than those of the control group in the three semesters,and the difference was statistically significant(P<0.05).Conclusion The PDCA cycle teaching method combined LASSO algorithmcan significantly improve the quality of teaching and students'academic performance in clinical medicine specialization in Baiyun Hospital of Guizhou Medical University,and can be used in clinical teaching.

PDCAclinical medicinespecializationteachingLASSO regressionInfluence factor

毛永佳、毛诗贤、朱泽祝、周鹏杰、杨胜雄

展开 >

贵州医科大学附属白云医院教务科,贵州 贵阳 550000

贵州医科大学公共卫生与健康学院,贵州 贵阳 550025

PDCA 临床医学 专升本 教学 LASSO回归 影响因素

贵州医科大学2021年本科教学内容和课程体系改革项目

JG2021101

2024

中国继续医学教育

中国继续医学教育

影响因子:2.564
ISSN:1674-9308
年,卷(期):2024.16(4)
  • 22