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医学院校“大数据管理与应用”专业建设现状与人才培养体系探索

Big Data Management and Application: Specialty Construction Overview and Exploration of Personnel Training System in Medical Schools

  • 摘要: 针对新医科背景下医学院校的大数据管理与应用本科专业建设,本文首先分别从国家层面和地域层面分析了该专业人才需求和专业建设现状;然后,以安徽省重点建设的医学院校为例,介绍安徽医科大学开设大数据管理与应用专业的相关筹建工作;最后,从人才培养目标、课程体系、实践教学体系等方面,详细介绍安徽医科大学在大数据管理与应用专业人才培养体系构建方面的探索工作。文章重点阐述了涵盖通识教育、专业教育和第二课堂,突出体现医、工、管学科交叉特色的人才培养课程体系;以及课内实践教学与第二课堂相结合,包含基础实践层次——认知实践层次——综合实践层次——创新实践层次,各层次逐级递进的实践教学体系。希望能为新医科背景下的医疗大数据人才培养提供有益借鉴。

     

    Abstract: Focusing on the undergraduate specialty construction of big data management and application in medical colleges and universities in the context of New Medical Education, we first analyzed, in this paper, the demand for trained personnel of this specialization and the status of program construction at the national and regional levels. Then, taking Anhui Medical University as an example, a key medical university in Anhui Province, we introduced the preparations made by medical colleges and universities to set up big data management and application specialty. Finally, from the perspectives of the objectives of personnel training, curriculum system, and practical teaching system, we presented in detail the exploratory efforts made by Anhui Medical University to construct a training system for personnel specializing in big data management and application. In this paper, we reported mainly the work done on the exploration of the personnel training curriculum system, covering general education, professional education, and extracurricular activities, highlighting the interdisciplinary characteristics of a personnel training curricular system that integrates medicine, engineering, and management. We also reported on a practice teaching system that combined in-class practical teaching and extracurricular activities, and that incorporated tiered contents of increasing challenge--basic practice level, cognitive practice level, comprehensive practice level, and innovative practice level. This study is expected to provide useful references for the training of personnel specializing in medical big data in the context of New Medical Education.

     

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