中华医学教育杂志 ›› 2019, Vol. 39 ›› Issue (4): 293-296.DOI: 10.3760/cma.j.issn.1673-677X.2019.04.013

• 住院医师培训 • 上一篇    下一篇

互联网大数据视角下的住院医师规范化培训舆情分析

袁雁飞1, 晏定坤2, 张荣辉3, 夏宏伟1, 杨剑1, 郭浩岩1   

  1. 1中国疾病预防控制中心政策研究与健康传播中心,北京 102206;
    2北京中青华云新媒体科技有限公司数据中心 100702;
    3北京中青华云新媒体科技有限公司 100702
  • 收稿日期:2017-07-28 发布日期:2020-12-11
  • 通讯作者: 郭浩岩,Email:guohy@chinacdc.cn,电话:010-58900314
  • 基金资助:
    中国疾病预防控制中心公共卫生应急反应机制的运行(131031001000150001)

Public opinion analysis on resident standardized training based on Internet big data

Yuan Yanfei1, Yan Dingkun2, Zhang Ronghui3, Xia Hongwei1, Yang Jian1, Guo Haoyan1   

  1. 1Center for Policy Research and Health Communication, Chinese Center for Disease Control and Prevention, Beijing 102206, China;
    2Center of Data, China Youth HUAYUN Company Ltd, Beijing 100702, China;
    3China Youth HUAYUN Company Ltd, Beijing 100702, China
  • Received:2017-07-28 Published:2020-12-11
  • Contact: Guo Haoyan, Email: guohy@chinacdc.cn, Tel: 0086-10-58900314
  • Supported by:
    China CDC Public Health Emergency Response Action(131031001000150001)

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%(418 200/820 000)的住院医师规范化培训舆情信息为中性,32%(262 400/820 000)的住院医师规范化培训舆情信息为负面,17%(139 400/820 000)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%(102 336/262 400)的媒体关注住院医师规范化培训政策衔接问题;27%(70 848/262 400)的媒体关注住院医师规范化培训周期问题;26%(68 224/262 400)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。

关键词: 互联网, 大数据, 住院医师, 规范化培训, 舆情分析

Abstract: 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% (418 200/820 000)of the public opinion items were neutral, 32% (262 400/820 000)of the items was negative, and 17%(139 400/820 000)was positive. Specifically, 39% (102 336/262 400)of the media focused on the policy of resident standardized training, 27% (70 848/262 400)on the training period, and 26% (68 224/262 400)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.

Key words: Internet, Big data, Residents, Standardized training, Public opinion analysis

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