Research on Key Technologies for Hospital Equipment Identification and Carbon Emission Accounting Based on Ecode Encoding
Authors
Sucai Li1, Jianhua Li1, Gang Zhang1, Wei Liu2, *, Yongguo Sun3, Yan Fang1, Yadong Li3, Junlin Sun1
1GS1 China, Beijing, 100011, China
2Standard Institute of Emerging Technologies and Innovations, Jinan, 250102, China
3The Second Hospital of Shandong University, Jinan, 250033, China
*Corresponding author.
Email: liuweiwcy@163.com
Corresponding Author
Wei Liu
Available Online 22 May 2025.
- DOI
- 10.2991/978-94-6463-736-6_19How to use a DOI?
- Keywords
- Ecode identification; hospital equipment; identification system; carbon emission accounting
- Abstract
In response to the increasing demand for hospital medical services, while providing high-quality medical services, there are complex logistical management challenges to address, a hospital equipment identification system based on Ecode labeling has been proposed. Additionally, a carbon emission accounting statistical model based on Ecode has been developed to achieve comprehensive lifecycle management of equipment and precise collection and analysis of carbon emission data, providing a decision-making basis for hospitals’ environmental protection and sustainable development.
- Copyright
- © 2025 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.
Cite this article
TY - CONF AU - Sucai Li AU - Jianhua Li AU - Gang Zhang AU - Wei Liu AU - Yongguo Sun AU - Yan Fang AU - Yadong Li AU - Junlin Sun PY - 2025 DA - 2025/05/22 TI - Research on Key Technologies for Hospital Equipment Identification and Carbon Emission Accounting Based on Ecode Encoding BT - Proceedings of the 2025 4th International Conference on Engineering Management and Information Science (EMIS 2025) PB - Atlantis Press SP - 157 EP - 166 SN - 2352-538X UR - https://doi.org/10.2991/978-94-6463-736-6_19 DO - 10.2991/978-94-6463-736-6_19 ID - Li2025 ER -