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Analysis of Crowd Distribution Optimization in Inpatient Department of Hospital Based on Evacuation Behavior Pattern
- Source :
- 2021 International Conference on Public Management and Intelligent Society (PMIS).
- Publication Year :
- 2021
- Publisher :
- IEEE, 2021.
-
Abstract
- Nowadays, the hospital layout in China is commonly characterized by a large number of crowds on each floor of the inpatient department, a large mobility of patients in and out of hospital, and a complex patient composition. Because of the special composition of crowd and the general particularity of behavior, patients not only have certain physical defects, but also bear greater psychological pressure than normal people. For example, some patients with cardiovascular disease would be nervous when they encounter sudden accidents, and they would not get help for a long time, which is more likely to lead to their aggravation of disease, or even a sudden death. It is assumed that most people will subconsciously show herd behavior when an accident occurs on the inpatient floor. Due to their physiological and psychological defects, patients are more likely to have herd behavior, especially some patients with poor ability of action are relatively weak in escape. Therefore, more professional medical staff are needed to help patients with dysfunction and need to assist in evacuation. In order to optimize the layout of the inpatient department, make the evacuation more smooth and efficient, reduce the overall evacuation time of the inpatient department, and improve the survival rate of patients, this paper mainly studies the single floor of the oncology department of a TCM hospital, draws up the evacuation stairs and fire elevator as the evacuation exit, and uses the Pathfinder model to construct the layout according to the particularity of the inpatient floor and finally obtains a general optimal layout.
Details
- Database :
- OpenAIRE
- Journal :
- 2021 International Conference on Public Management and Intelligent Society (PMIS)
- Accession number :
- edsair.doi...........46b0b9514f6b463903577216e6cb2473