医疗大数据背景下医学检验专业临床实习带教模式的研究

    Study on clinical practice teaching mode of medical laboratory specialty under the background of medical big data

    • 摘要:
      目的评价医疗大数据背景下医学检验专业临床实习带教模式的应用效果。
      方法以2018年的28名实习生作为对照组, 采取传统教学方法; 2019年的32名实习生作为观察组, 在临床实践过程中引导实习生利用医疗大数据, 培养学生科研思维和解决临床问题的能力。比较2组理论测试成绩、国家检验师资格考试的通过率及对检验报告单的分析能力、与临床的沟通能力、对抱怨处理和咨询解答能力等量化考核指标。
      结果实习期间采用不同教学模式后, 观察组出科理论考试成绩高于对照组(P<0.05)。观察组国家检验师资格考试的通过率与对照组差异无统计学意义(P>0.05)。观察组学生对检验报告单的分析能力、与临床的沟通能力、对抱怨处理和咨询解答能力均明显优于对照组(P<0.01), 观察组学生量化考核总分明显高于对照组(P<0.01)。
      结论引导检验实习生对医疗大数据的分析, 可以提高其对临床相关知识的学习兴趣, 促进理论知识与临床实践相衔接, 为检验医学生更好地服务临床、服务病人打下坚实的基础。

       

      Abstract:
      ObjectiveTo evaluate the application effect of clinical practice teaching mode of medical laboratory specialty under the background of medical big data.
      MethodsTwenty-eight interns in 2018 were set as the control group, which received traditional teaching method, and 32 interns in 2019 were set as observation group, which was guided to use medical big data to cultivate student's scientific research thinking and clinical problem solving ability in the process of clinical practice.The theoretical test score, passing rate of national laboratory physician qualification examination, and quantitative assessment indexes such as analysis ability of inspection report, communication ability with clinic, complaint handling ability, and consultation and answer ability were compared between the two groups.
      ResultsAfter using different teaching modes during the internship, the theoretical test score in observation group was higher than that in control group (P < 0.05).There was no significant difference in the passing rate of national laboratory physician qualification examination between the two groups (P > 0.05).The analysis ability of inspection report, communication ability with clinic, complaint handling ability, and consultation and answer ability in observation group were significantly better than those in control group (P < 0.01), and the total score of quantitative assessment was obviously higher than that in control group (P < 0.01).
      ConclusionsGuiding laboratory interns to analyze medical big data can improve their interest in learning clinical knowledge, promote the convergence of theoretical knowledge and clinical practice, and lay a solid foundation to better serve the clinic and patient.

       

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