Conference proceeding
Study of hospital emergency resource scheduling based on digital twin technology
2021 IEEE 2nd International Conference on Information Technology, Big Data and Artificial Intelligence (ICIBA), v 2, pp 1059-1063
17 Dec 2021
Abstract
Emergency resource scheduling is a key process in hospital emergency management. However, due to the uncertainty and fuzziness of hospital emergency resource scheduling, hospital has to face great challenges in emergency management. In order to better implement emergency resource scheduling in hospitals, this paper studies the perception and allocation of emergency resource scheduling based on digital twin perception and virtual reality interaction technology, and expounds the data twin model, medicine packaging recognition process, hospital emergency dispatch mechanism. Our research can effectively help hospitals solve the uncertainty and fuzziness of emergency resource scheduling, which provides a new method for the research of hospital emergency management.
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11 citations in Scopus
Details
- Title
- Study of hospital emergency resource scheduling based on digital twin technology
- Creators
- Xiaohua Hu - First Affiliated Hospital of Naval Medical University, Shanghai, ChinaHongwei Cao - First Affiliated Hospital of Naval Medical University, Shanghai, ChinaJia Shi - First Affiliated Hospital of Naval Medical University, Shanghai, ChinaYonghui Dai - Shanghai University of International Business and EconomicsWeihui Dai - Fudan University
- Publication Details
- 2021 IEEE 2nd International Conference on Information Technology, Big Data and Artificial Intelligence (ICIBA), v 2, pp 1059-1063
- Conference
- 2021 IEEE 2nd International Conference on Information Technology, Big Data and Artificial Intelligence (ICIBA), 2nd
- Publisher
- IEEE
- Number of pages
- 1
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Information Science
- Scopus ID
- 2-s2.0-85126869337
- Other Identifier
- 991019189060704721