Issue |
E3S Web Conf.
Volume 179, 2020
2020 International Conference on Environment and Water Resources Engineering (EWRE 2020)
|
|
---|---|---|
Article Number | 02039 | |
Number of page(s) | 5 | |
Section | Environmental and Industrial Design | |
DOI | https://doi.org/10.1051/e3sconf/202017902039 | |
Published online | 23 July 2020 |
Research on the design of emergency services for nursing homes
1 Departments of Mechanical and Electrical Engineering, University of Beijing University of Chemical Technology, 100029, china
2 Departments of Mechanical and Electrical Engineering, University of Beijing University of Chemical Technology, 100029, china
* Corresponding author’s e-mail: 99308430@qq.com
In order to improve the efficiency of medical treatment for the elderly during sudden illness and optimize the first-aid service process in nursing homes, this paper uses the SET analysis method to obtain the design gap of the existing nursing-home emergency service system. Taking the elderly with coronary heart disease as an example, focus on their service acceptance and healthy lifestyle. Use the method of user journey map to visualize the daily behavior of the elderly, followed by the SWOT analysis method to obtain the market competitive advantage, and finally establish a coronary heart disease first-aid service system for nursing homes. It is hoped that this study will provide emergency medical service plans for elderly patients with sudden acute illness and provide a reference for the emergency treatment process of other types of diseases.
© The Authors, published by EDP Sciences, 2020
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.