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互联网大数据视角下的住院医师规范化培训舆情分析 被引量:6

Public opinion analysis on resident standardized training based on Internet big data
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摘要 以互联网大数据为基础,通过舆情监测系统软件获取住院医师规范化培训舆情数据,分析住院医师规范化培训现况。舆情监测结果显示,针对住院医师规范化培训的话题共有82万余条,医学院学生对住院医师规范化培训最为关注;51%(418200/820000)的住院医师规范化培训舆情信息为中性,32%(262400/820000)的住院医师规范化培训舆情信息为负面,17%(139400/820000)的住院医师规范化培训舆情信息为正面;媒体负面信息报道的关键点分布为:39%(102336/262400)的媒体关注住院医师规范化培训政策衔接问题;27%(70848/262400)的媒体关注住院医师规范化培训周期问题;26%(68224/262400)的媒体关注住院医师规范化培训的收入待遇问题。结果提示,住院医师规范化培训受到媒体和网民的广泛关注,媒体和网民对住院医师规范化培训态度呈现两极化,政府需要建立舆情研判机制、信息发布机制和舆情引导机制,正确引导网络舆情。 Public opinion software was used to collect data in the context of internet big data, aiming to analyze the situation of resident standardized training. The results indicated that over 820 thousand public opinion items regarding resident standardized training were collected and the greatest attention paid to this issue came from medical college students. 51%(418200/820000)of the public opinion items were neutral, 32%(262400/820000)of the items was negative, and 17%(139400/820000)was positive. Specifically, 39%(102336/262400)of the media focused on the policy of resident standardized training, 27%(70848/262400)on the training period, and 26%(68224/262400)on the training income. Both the media and cyber citizen paid close attention to resident standardized training, but their attitudes towards it were polarized. Government should create public opinion research and judge mechanism, information dissemination mechanism and public opinion guidance mechanism to orient internet public opinion tracking in a scientific and objective way.
作者 袁雁飞 晏定坤 张荣辉 夏宏伟 杨剑 郭浩岩 Yuan Yanfei;Yan Dingkun;Zhang Ronghui;Xia Hongwei;Yang Jian;Guo Haoyan(Center for Policy Research and Health Communication, Chinese Center for Disease Control and Prevention, Beijing 102206, China;Center of Data, China Youth HUAYUN Company Ltd, Beijing 100702, China;China Youth HUAYUN Company Ltd, Beijing 100702, China)
出处 《中华医学教育杂志》 2019年第4期293-296,共4页 Chinese Journal of Medical Education
关键词 互联网 大数据 住院医师 规范化培训 舆情分析 Internet Big data Residents Standardized training Public opinion analysis
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