创新型医学信息分析人才科研能力连续性培养模式探析  

Analysis on the Continuous Training Mode of Scientific Research Ability of Innovative Medical Information Analysis Talents

作　　者：王萍[1] 牟冬梅[1,2] 靳春妍 邵琦 赵丹宁 李茵[1] Wang Ping(School of Public Health,Jilin University,Changchun,130021)

机构地区：[1]吉林大学公共卫生学院,长春130021 [2]吉林大学第一医院,长春130021

出　　处：《医学与社会》2020年第1期125-128,共4页Medicine and Society

基　　金：国家自然科学基金资助项目,编号为71573102;吉林省高等教育学会2018年度高教科研课题“创新型人才连续性培养拉动下的递进式科研训练模式研究”,编号为JGJX2018D16

摘　　要：探索健康医疗大数据背景下,创新型医学信息分析人才科研能力的连续性培养模式,为智慧健康诊疗服务体系建设提供人力资源储备。研究以加快创新型医学信息分析人才培养速率为目标,依据学术生态系统的运行机制和科研能力的构成要素,从学术知识、学术环境和学术主体三个视角,梳理医学信息分析人才本科、硕士、博士各阶段的课程体系设计、管理体系构建和激励机制,最后构建了创新型的科研能力培养驱动下的连续性医学信息人才培养模式。To explore the continuous training mode of innovative medical information analysis talents'scientific research ability based on the background of health and medical big data,and to provide human resources reserves for the construction of smart health diagnosis and treatment service system.The research aims to accelerate the training rate of innovative medical information nalysis talents.Based on the operational mechanism of the academic ecosystem and the components of scientific research capabilities,from three perspectives of academic knowledge,academic environment and academic subject,the study analyzed the curriculum system design,management system construction and incentive mechanism of medical information analysis talentsz undergraduate,master and doctoral stages.This research constructed a continuous training model of medical information talents driven by innovative research capacity training.

关 键 词：医学信息 科研能力 人才培养 学术生态系统 健康医疗大数据 

分 类 号：R192.9[医药卫生—卫生事业管理]