Health Work Strategy from the Perspective of Big Data and Rural Revitalization

DOI

10.2991/978-94-6463-238-5_20How to use a DOI?

Keywords

big data; rural revitalization; health

Abstract

Entering the 21st century, China’s rural social and economic development and the effectiveness of rural infrastructure construction have begun to take shape, but problems such as unbalanced rural development and inadequate rural development are still very prominent. In particular, health and sanitation, which is closely related to people’s livelihood in rural areas, still a weak link in rural development. At the same time, the rapid development of the digital economy has become the main driving force for the overall development of the economy and society, and the role of digital technology in promoting health care has become increasingly apparent. This article analyzes the theoretical mechanism of the digital economy empowering rural revitalization, and explains the interaction mechanism between health work and rural revitalization. Through in-depth analysis and careful research, it starts from the establishment and improvement of health file management, the strengthening of health news publicity, and the continuous deepening of medical research. Starting from the three dimensions of health system reform, the development strategy of health work is further proposed.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Yu Tang
PY  - 2023
DA  - 2023/09/26
TI  - Health Work Strategy from the Perspective of Big Data and Rural Revitalization
BT  - Proceedings of the 2023 4th International Conference on Big Data and Informatization Education (ICBDIE 2023)
PB  - Atlantis Press
SP  - 150
EP  - 158
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-238-5_20
DO  - 10.2991/978-94-6463-238-5_20
ID  - Tang2023
ER  -