Management and Visualization Tools for Emergency Medical Services

Fuente: arXiv
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Autori principali: Guigues, Vincent, Kleywegt, Anton, Nascimento, Victor Hugo, Rodrigues, Victor Salles, Viana, Thais, Medeiros, Edson
Natura: Preprint
Pubblicazione: 2024
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author Guigues, Vincent
Kleywegt, Anton
Nascimento, Victor Hugo
Rodrigues, Victor Salles
Viana, Thais
Medeiros, Edson
author_facet Guigues, Vincent
Kleywegt, Anton
Nascimento, Victor Hugo
Rodrigues, Victor Salles
Viana, Thais
Medeiros, Edson
contents This paper describes an online tool for the visualization of medical emergency locations, randomly generated sample paths of medical emergencies, and the animation of ambulance movements under the control of various dispatch methods in response to these emergencies. The tool incorporates statistical models for forecasting emergency locations and call arrival times, the simulation of emergency arrivals and ambulance movement trajectories, and the computation and visualization of performance metrics such as ambulance response time distributions. Data for the Rio de Janeiro Emergency Medical Service are available on the website. A user can upload emergency data for any Emergency Medical Service, and can then use the visualization tool to explore the uploaded data. A user can also use the statistical tools and/or the simulation tool with any of the dispatch methods provided, and can then use the visualization tool to explore the computational output. Future enhancements include the ability of a user to embed additional dispatch algorithms into the simulation; the tool can then be used to visualize the simulation results obtained with the newly embedded algorithms.
format Preprint
id arxiv_https___arxiv_org_abs_2409_09154
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Management and Visualization Tools for Emergency Medical Services
Guigues, Vincent
Kleywegt, Anton
Nascimento, Victor Hugo
Rodrigues, Victor Salles
Viana, Thais
Medeiros, Edson
Human-Computer Interaction
This paper describes an online tool for the visualization of medical emergency locations, randomly generated sample paths of medical emergencies, and the animation of ambulance movements under the control of various dispatch methods in response to these emergencies. The tool incorporates statistical models for forecasting emergency locations and call arrival times, the simulation of emergency arrivals and ambulance movement trajectories, and the computation and visualization of performance metrics such as ambulance response time distributions. Data for the Rio de Janeiro Emergency Medical Service are available on the website. A user can upload emergency data for any Emergency Medical Service, and can then use the visualization tool to explore the uploaded data. A user can also use the statistical tools and/or the simulation tool with any of the dispatch methods provided, and can then use the visualization tool to explore the computational output. Future enhancements include the ability of a user to embed additional dispatch algorithms into the simulation; the tool can then be used to visualize the simulation results obtained with the newly embedded algorithms.
title Management and Visualization Tools for Emergency Medical Services
topic Human-Computer Interaction
url https://arxiv.org/abs/2409.09154