Vincent Guigues, Anton Kleywegt, Victor Hugo Nascimento, Victor Salles Rodrigues, Thais Viana, Edson Medeiros
{"title":"Management and Visualization Tools for Emergency Medical Services","authors":"Vincent Guigues, Anton Kleywegt, Victor Hugo Nascimento, Victor Salles Rodrigues, Thais Viana, Edson Medeiros","doi":"arxiv-2409.09154","DOIUrl":null,"url":null,"abstract":"This paper describes an online tool for the visualization of medical\nemergency locations, randomly generated sample paths of medical emergencies,\nand the animation of ambulance movements under the control of various dispatch\nmethods in response to these emergencies. The tool incorporates statistical\nmodels for forecasting emergency locations and call arrival times, the\nsimulation of emergency arrivals and ambulance movement trajectories, and the\ncomputation and visualization of performance metrics such as ambulance response\ntime distributions. Data for the Rio de Janeiro Emergency Medical Service are\navailable on the website. A user can upload emergency data for any Emergency\nMedical Service, and can then use the visualization tool to explore the\nuploaded data. A user can also use the statistical tools and/or the simulation\ntool with any of the dispatch methods provided, and can then use the\nvisualization tool to explore the computational output. Future enhancements\ninclude the ability of a user to embed additional dispatch algorithms into the\nsimulation; the tool can then be used to visualize the simulation results\nobtained with the newly embedded algorithms.","PeriodicalId":501541,"journal":{"name":"arXiv - CS - Human-Computer Interaction","volume":"29 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - CS - Human-Computer Interaction","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.09154","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
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.