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HTA-based modeling study of the process of medical transport tasks in high-speed health trains.
- Source :
-
Technology & Health Care . 2023, Vol. 31 Issue 5, p1809-1823. 15p. - Publication Year :
- 2023
-
Abstract
- BACKGROUND: High-speed health trains are important tools and guarantees in major accidents, epidemic pandemics, disasters, and warfare health care, and the health trains currently developed for common train platforms have more functional defects. OBJECTIVE: The purpose of this study is to analyze the relationship between the medical transfer system and the medical system, and to obtain a better medical transfer train formation through the established model. METHODS: Based on the case study of medical transport tools, this paper analyzes the components and interrelationships of the medical transport system and the medical system, and then analyzes the medical transport task process of the health train by using the hierarchical task analysis (HTA) method. Combined with the Chinese standard EMU, a medical transport task model of the high-speed health train is established. Through this model, the functional compartment unit of the high-speed health train and the marshaling scheme of the high-speed health train are obtained. RESULTS: The expert system is used to evaluate the scheme. The results show that the train formation scheme formulated by the model in this paper is superior to other train formation schemes in three indicators, meeting the requirements of large medical transfer tasks. CONCLUSION: The results of this study can improve the ability of on-site treatment of patients, and can provide a basis for the research and development of a high-speed health train, which has a certain practical application value. [ABSTRACT FROM AUTHOR]
- Subjects :
- *HIGH speed trains
*TASK analysis
Subjects
Details
- Language :
- English
- ISSN :
- 09287329
- Volume :
- 31
- Issue :
- 5
- Database :
- Academic Search Index
- Journal :
- Technology & Health Care
- Publication Type :
- Academic Journal
- Accession number :
- 172806536
- Full Text :
- https://doi.org/10.3233/THC-220675