Literature DB >> 15138950

A geographic information system simulation model of EMS: reducing ambulance response time.

Kobi Peleg1, Joseph S Pliskin.   

Abstract

Response time is a very important factor in determining the quality of prehospital EMS. Our objective was to model the response by Israeli ambulances and to offer model-derived strategies for improved deployment of ambulances to reduce response time. Using a geographic information system (GIS), a retrospective review of computerized ambulance call and dispatch logs was performed in two different regional districts, one large and urban and the other rural. All calls that were pinpointed geographically by the GIS were included, and their data were stratified by weekday and by daily shifts. Geographic areas (polygons) of, at most, 8 minutes response time were simulated for each of these subgroups to maximize the timely response of calls. Before using the GIS model, mean response times in the Carmel and Lachish districts were 12.3 and 9.2 minutes, respectively, with 34% and 62% of calls responded within 8 minutes. When ambulances were positioned within the modeled polygons, more than 94% of calls met the 8-minute criterion. The GIS simulation model presented in this study suggests that EMS could be more effective if a dynamic load-responsive ambulance deployment is adopted, potentially resulting in increased survival and cost-effectiveness.

Mesh:

Year:  2004        PMID: 15138950     DOI: 10.1016/j.ajem.2004.02.003

Source DB:  PubMed          Journal:  Am J Emerg Med        ISSN: 0735-6757            Impact factor:   2.469


  19 in total

1.  Resource planning for ambulance services in mass casualty incidents: a DES-based policy model.

Authors:  Marion S Rauner; Michaela M Schaffhauser-Linzatti; Helmut Niessner
Journal:  Health Care Manag Sci       Date:  2012-06-01

2.  Differential patterns, trends and hotspots of road traffic injuries on different road networks in Vellore district, southern India.

Authors:  Venkata Raghava Mohan; Rajiv Sarkar; Vinod Joseph Abraham; Vinohar Balraj; Elena N Naumova
Journal:  Trop Med Int Health       Date:  2014-12-16       Impact factor: 2.622

Review 3.  GIS and injury prevention and control: history, challenges, and opportunities.

Authors:  Nathaniel Bell; Nadine Schuurman
Journal:  Int J Environ Res Public Health       Date:  2010-03-11       Impact factor: 3.390

4.  A tale of two cities: the role of neighborhood socioeconomic status in spatial clustering of bystander CPR in Austin and Houston.

Authors:  Elisabeth Dowling Root; Louis Gonzales; David E Persse; Paul R Hinchey; Bryan McNally; Comilla Sasson
Journal:  Resuscitation       Date:  2013-01-11       Impact factor: 5.262

5.  Predicting ambulance time of arrival to the emergency department using global positioning system and Google maps.

Authors:  Ross J Fleischman; Mark Lundquist; Jonathan Jui; Craig D Newgard; Craig Warden
Journal:  Prehosp Emerg Care       Date:  2013-07-18       Impact factor: 3.077

6.  Preventing Emergency Vehicle Crashes: Status and Challenges of Human Factors Issues.

Authors:  Hongwei Hsiao; Joonho Chang; Peter Simeonov
Journal:  Hum Factors       Date:  2018-07-02       Impact factor: 2.888

7.  Use of a Motorlance to Deliver Emergency Medical Services; a Prospective Cross Sectional Study.

Authors:  Korakot Apiratwarakul; Kamonwon Ienghong; Thapanawong Mitsungnern; Praew Kotruchin; Pariwat Phungoen; Vajarabhongsa Bhudhisawasdi
Journal:  Arch Acad Emerg Med       Date:  2019-08-21

8.  Trauma center accessibility for road traffic injuries in Hanoi, Vietnam.

Authors:  Takashi Nagata; Ayako Takamori; Yoshinari Kimura; Akio Kimura; Makoto Hashizume; Shinji Nakahara
Journal:  J Trauma Manag Outcomes       Date:  2011-09-30

9.  Using genetic algorithms to optimise current and future health planning--the example of ambulance locations.

Authors:  Satoshi Sasaki; Alexis J Comber; Hiroshi Suzuki; Chris Brunsdon
Journal:  Int J Health Geogr       Date:  2010-01-28       Impact factor: 3.918

10.  Geographical information systems and health: current state and future directions.

Authors:  Nicola T Shaw
Journal:  Healthc Inform Res       Date:  2012-06-30
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