收藏切换
Study on digital to intelligent transformation of disease prevention and control institutions under big data and artificial intelligence
收藏切换
PDF
Jing-Xuan SUN1, *, Ying WANG1, Ling ZHANG1, Qian-Quan WANG2, Chun-Lin XIANG2, Tao YIN2
Laboratory Testing | 2024, 2(5) : 94 - 99
Less
收藏切换
Laboratory Testing | 2024, 2(5): 94-99
Innovation Platform
Study on digital to intelligent transformation of disease prevention and control institutions under big data and artificial intelligence
Full
Jing-Xuan SUN1, *, Ying WANG1, Ling ZHANG1, Qian-Quan WANG2, Chun-Lin XIANG2, Tao YIN2
Affiliations
  • 1 Xinjiang Uygur Autonomous Region Centre for Disease Control and Prevention Urumqi 830000 China
  • 2 Beijing Sunway World Science and Technology Co., Ltd. Beijing 100070 China
Outline
收藏切换

In order to better achieve the population health goals in the 14th Five-Year Plan, the information system of the centers for Disease Control and prevention at all levels from the national to the local level is constantly upgraded and improved, and the continuous improvement of information technology and the sharing of various types of data will promote the integration and application of emerging technologies, thus accelerating the development of information technology in the centers for disease control and prevention to intelligence. This paper explored the development path from digitization to intelligence in the information construction of disease prevention and control institutions (abbreviated as a disease control institution), analyzed the existing digitization and intelligent application of disease control institution, and provided solutions for the high-quality intelligent transformation of disease control institution; put forward that the information construction and development of disease control institution should be guided by the combination of digital innovation technology and expert experience, seized the current technological development opportunities, gave full play to their own professional and technical advantages, focused on improving their own technological transformation strength, uphold the characteristics of disease control, made up for functional defects, and achieve high-quality development of public health.

big data  /  artificial intelligence  /  laboratory information management system  /  virtual reality  /  internet of things
Jing-Xuan SUN, Ying WANG, Ling ZHANG, Qian-Quan WANG, Chun-Lin XIANG, Tao YIN. Study on digital to intelligent transformation of disease prevention and control institutions under big data and artificial intelligence[J]. Laboratory Testing, 2024 , 2 (5) : 94 -99 .
  • Xinjiang Uygur Autonomous Region Major Science and Technology Project "Xinjiang Public Health Key Technology Research and Development and Epidemic Prevention System Construction Project"
Year 2024 volume 2 Issue 5
PDF
25
10
Cite this Article
BibTeX
Article Info
  • Online Date:2025-07-29
Article Data
Affiliations
History
Funding
Xinjiang Uygur Autonomous Region Major Science and Technology Project "Xinjiang Public Health Key Technology Research and Development and Epidemic Prevention System Construction Project"
Affiliations
    1 Xinjiang Uygur Autonomous Region Centre for Disease Control and Prevention Urumqi 830000 China
    2 Beijing Sunway World Science and Technology Co., Ltd. Beijing 100070 China

Corresponding:

*SUN Jing-Xuan, Deputy Chief Physician, Xinjiang Uygur Autonomous Region Centre for Disease Control and Prevention, Urumqi 830000, China. E-mail:
References
Share
https://castjournals.cast.org.cn/joweb/sysjc/EN/
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT