Issue |
E3S Web Conf.
Volume 257, 2021
5th International Workshop on Advances in Energy Science and Environment Engineering (AESEE 2021)
|
|
---|---|---|
Article Number | 03060 | |
Number of page(s) | 4 | |
Section | Environmental Monitoring Repair and Pollution Control | |
DOI | https://doi.org/10.1051/e3sconf/202125703060 | |
Published online | 12 May 2021 |
Using AI to Implement O2O Home Health Care Program
Nanfang College of Sun Yat-Sen University, Guangzhou, 510970, China
* Corresponding author’s e-mail: d92741006@ntu.edu.tw
With the continuous growth of China’s elderly population, the demand for elderly care services has increased dramatically. Due to the influence of Chinese people’s cultural concept of elderly care, most of the elderly are more inclined to home-based care, enjoy the happiness of children and grandchildren, and enjoy family happiness. At present, there are some problems in home-based health care services, such as lack of professional talents and single service mode. This entrepreneurial project which is proposed by Wish Magic has grasped the pain points of China’s elderly care problems, and brought about some problems. Efforts should be made to build a sharing platform for elderly care services, attract professionals to provide professional services for the elderly, and hold diversified activities to meet the material and spiritual needs of the elderly. The planned market strategy of the project is divided into three steps. Firstly, the project will be carried out in the first and second tier cities, and then expanded to the third tier cities. Later, the market will be expanded to the fourth tier cities. At the same time, the project will cooperate with government departments to strive for government funding and policy support, and provide accurate services in combination with online and offline ways, so as to meet the diversified pension needs of the elderly.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.