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中国防痨杂志 ›› 2022, Vol. 44 ›› Issue (3): 215-218.doi: 10.19982/j.issn.1000-6621.20210724

• 专题笔谈 • 上一篇    下一篇

构建智慧化网络 助力结核病防治

徐彩红, 赵雁林()   

  1. 中国疾病预防控制中心结核病预防控制中心,北京 102206
  • 收稿日期:2021-12-29 出版日期:2022-03-10 发布日期:2022-03-08
  • 通信作者: 赵雁林 E-mail:zhaoyl@chinacdc.cn
  • 基金资助:
    “十三五”国家科技重大专项(2017ZX10201302-001)

Build an intelligent network to promote tuberculosis prevention and treatment

XU Cai-hong, ZHAO Yan-lin()   

  1. National Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
  • Received:2021-12-29 Online:2022-03-10 Published:2022-03-08
  • Contact: ZHAO Yan-lin E-mail:zhaoyl@chinacdc.cn
  • Supported by:
    National Science and Technology Major Project during the Thirteenth Five-year Plan Period(2017ZX10201302-001)

摘要:

功能完备的结核病防治服务体系是实现高质量结核病防治服务的前提和基础,在不断发展的大数据、人工智能等信息技术背景下,统筹规划,逐步构建管理科学、运行高效的结核病防治服务体系,对于确保结核病防治工作高质量、可持续发展至关重要。本文结合我国当前社会经济发展现状和结核病防治新形势,强调了构建智慧化结核病防治网络的必要性,阐述了如何构建智慧化网络,并以三大行动为实践案例解读如何充分发挥智慧化网络在结核病防治工作中的作用,从而全面提升结核病防治工作效率和质量,助力结核病防治目标的实现。

关键词: 结核, 计算机通信网络, 卫生服务研究

Abstract:

A well-functioning tuberculosis control system is the premise and foundation of high-quality tuberculosis control services. Under the background of developing big data, artificial intelligence and other information technologies, it is crucial to ensure the healthy and sustainable development of tuberculosis prevention and control work by making overall planning and gradually building a service system for tuberculosis prevention and control that is scientifically managed and efficiently operated. Based on the current socio-economic development and the new situation of tuberculosis control in China, this study emphasized the necessity of building an intelligent tuberculosis control system, and described how to build an intelligent network and play the role in intelligent network effectively and comprehensively improve the efficiency and quality of tuberculosis control by taking three major actions as a practical case, to speed the achievement of the End-TB targets.

Key words: Tuberculosis, Computer communication networks, Health services research

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