| Issue |
E3S Web Conf.
Volume 251, 2021
2021 International Conference on Tourism, Economy and Environmental Sustainability (TEES 2021)
|
|
|---|---|---|
| Article Number | 01032 | |
| Number of page(s) | 6 | |
| Section | Analysis of Energy Industry Economy and Consumption Structure Model | |
| DOI | https://doi.org/10.1051/e3sconf/202125101032 | |
| Published online | 15 April 2021 | |
Analysis of Service Efficiency of Traditional Chinese Medicine (TCM) Hospitals in China Based on Data Envelopment Analysis (DEA)
1 School of Management, Hubei University of Chinese Medicine, Wuhan 430065, China
2 Shandong Bausch & Lomb and Freda Pharmaceutical Co., Ltd., Jinan 250000, China
* Corresponding author: chenli0401@163.com
In order to optimize the allocation of health resources and promote the development of traditional Chinese medicine (TCM), this research employs the China Health Statistics Yearbook 2018 to collect relevant data on TCM hospitals in 2017, and the DEA method is used to construct a BCC model for the evaluation of service efficiency of these hospitals in 30 provinces (including autonomous regions and municipalities directly under the central government) across the country. It is found that TCM hospitals in non-effective DEA provinces are not operating efficiently, with excessive investment in institutions, beds, and health staff, and insufficient output of visits, bed utilization, and the average length of stay. Given this, attention to promoting the service capacity and efficiency of TCM hospitals should be paid on the following aspects: scientific allocation of health resource, strengthened external policy control, improved internal management of hospitals, optimized characteristic services and establishment of scientific evaluation system.
© 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.