Improving patient access to a public hospital complex using agent simulation

Roeder, T. M. K.; Frazier, P. I.; Szechtman, R.; Zhou,E.; Huschka, T.; Chick, S. E.

Keywords: mathematical model, hospitals, data models, computational modeling, analytical models, floors, Solid modeling

Abstract

This paper uses agent-based simulation to assess the effect of redesigning the points of access to a major public hospital complex in Chile, where nearly 15,000 people will pass through daily. The study is carried out by simulating pedestrian traffic in order to calculate density maps and service levels in hospital access and ramps. The simulation allows us to evaluate the flow of people and assess the layout performance, by identifying high patient flow areas and congested pedestrian traffic zones. By using this approach, it is possible to suggest changes to the original design and to improve pedestrian flow at hospital access points and ramps. The suggested changes reveal that pedestrian indicators could be improved, which in turn would improve the level of satisfaction of patients, relatives, and hospital personnel. A higher satisfaction level would help to reduce stress linked to hospital facilities and crowded spaces.

Más información

Editorial: IEEE
Fecha de publicación: 2017
Año de Inicio/Término: 11-14 Dec. 2016
Página final: 11
URL: http://ieeexplore.ieee.org/document/7822183/
Notas: INSPEC Accession Number: 16604543 DOI: 10.1109/WSC.2016.7822183