医学院校大数据应用型人才培养的路径探析  

Analysis of the paths in cultivating big data applied talents in medical colleges and universities

作　　者：徐勤[1] 吴振[1] 沈玫周 李勇[1] XU Qin;WU Zhen;SHEN Meizhou;LI Yong(Guilin Medical University,Guilin 541199,China)

机构地区：[1]桂林医学院,桂林541199

出　　处：《华夏医学》2024年第5期203-208,共6页Acta Medicinae Sinica

基　　金：广西教育科学“十四五”规划高校创新创业教育专项课题(2021ZJY1426);广西研究生教育创新计划项目(JGY2022209)。

摘　　要：互联网时代正在经历一次规模巨大的数据分析革命,数据分析、数据发掘、大数据可视化等新技术显示出巨大的发展潜力,市场对于大数据专业人才的需求也越来越大。医学院校作为人才培养的重要基地,在大数据时代变革下,应肩负起为社会培养高素质大数据应用型人才的重任。面对目前医学领域大数据应用型人才的巨大缺口,医学院校要主动分析行业变化,紧跟大数据技术发展,细分培养方向,增设相关专业,探寻新的人才培养模式,为医学发展培养高精尖人才。基于此,本文就医学院校大数据应用型人才培养工作展开探究,分析当前大数据应用型人才培养中存在的问题及有效的培养路径,希望能为广大同仁提供有价值的参考。The internet era is witnessing a significant revolution in data analysis.New technologies,including data analysis,data mining,and big data visualization,demonstrate significant development potential,with growing market demand for big data professionals.As crucial centers for talent cultivation,medical colleges and universities should shoulder the responsibility of developing high-quality big data professionals to meet societal needs in the era of big data.Faced with a significant gap in the field of big data professionals,universities should actively analyze industry changes,keep up with developments in big data technology,explore new models for talent training,and comprehensively enhance their curricula.Based on this,this article explores the cultivation of big data applied talents in medicac colleges and universities,analyzes the problems and effective training paths in the current cultivation of big data applied talents,and hopes to provide valuable reference for colleagues.

关 键 词：医学院校 大数据 应用型人才 培养模式 

分 类 号：G642[文化科学—高等教育学]