中日临床医学专业水平测试的比较研究与启示
Comparison of clinical medicine proficiency tests of China and Japan and the enlightenment
刘侃 1于菲 2王振禹 3刘子冬 3田甜 4郑淑园1
作者信息
- 1. 空军军医大学基础医学院外语教研室,西安 710032
- 2. 空军军医大学考评中心,西安 710032
- 3. 空军军医大学基础医学院教学科研处,西安 710032
- 4. 空军军医大学口腔医院特诊科,西安 710032
- 折叠
摘要
临床医学专业水平测试是我国国家医学考试中心于2020年开发,旨在检验临床专业医学生进入临床实习前是否具备本阶段应具有的医学人文素养、医学基本理论知识和技能的考试.日本自2002年开始实施了一项名为"临床医学专业实习前联合考试"的考试,该考试的考试目的、内容形式、成绩评定等方面都与我国水平测试极为相似.本文通过分析比较中日两国的考试,认为有必要借鉴日本的经验,加快推进我国临床医学专业水平测试考试成为行业准入考试的进程;并建议医学院校持续追踪临床医学专业水平测试发展动态,充分发挥该考试在促进医学生重视临床实习方面的作用;同时督促医学院校按照岗位胜任力标准建立与国家临床执业医师资格考试同标准的三级考试体系,不断提高育人质量.
Abstract
The Clinical Medicine Proficiency Test developed by the National Medical Examination Center of China in 2020 aims to assess whether clinical medical students possess the necessary medical humanities and basic medical theoretical knowledge and skills required for clinical internships.Since 2002,Japan has implemented the pre-clinical clerkship objective structured clinical examination and computer-based testing,which share similarities with China's proficiency test in terms of examination objectives,content,format,and score evaluation.Through comparing the examinations of China and Japan,this article concludes that it is necessary to learn from Japan's experience to expedite the process of promoting the Clinical Medicine Proficiency Test as an industry admission examination in China.We suggest that medical schools should keep tracking the development of the proficiency test and fully leverage its role in urging students to pay more attention to clinical internships.We also urge medical schools to establish a three-level examination system based on post competency criteria in line with the standards of the National Medical Licensing Examination to improve the quality of medical education.
关键词
临床医学专业/水平测试/岗位胜任力/医师法/临床执业医师资格考试Key words
Clinical medicine/Proficiency test/Post competency/Law on Licensed Doctors of the People's Republic of China/National Medical Licensing Examination引用本文复制引用
基金项目
2023年空军军医大学基础医学院教学研究课题(ZL2022013)
出版年
2024
NETL
NSTL
万方数据