Literature DB >> 10515636

Assessment of ambulance response performance using a geographic information system.

J Peters1, G B Hall.   

Abstract

The accessibility, distribution and utilisation of emergency medical services are important components of health care delivery. The impact of these services on well-being is heightened by the fact that ambulance resources must respond in a reliable and timely manner to emergency calls from demand areas. However, many factors, such as the unavailability of an ambulance at a center closest to a call, can adversely influence response time. This paper discusses the design and implementation of a framework developed in a Geographic Information System for assessing ambulance response performance. A case study of ambulance response in three communities in Southern Ontario, Canada is presented that allows easy and rapid identification of anomalous calls that may adversely affect overall operating performance evaluation. Extensions of the framework into a fully fledged service deployment and planning decision support system are discussed.

Mesh:

Year:  1999        PMID: 10515636     DOI: 10.1016/s0277-9536(99)00248-8

Source DB:  PubMed          Journal:  Soc Sci Med        ISSN: 0277-9536            Impact factor:   4.634


  6 in total

1.  The spatial epidemiology of trauma: the potential of geographic information science to organize data and reveal patterns of injury and services.

Authors:  Nadine Schuurman; S Morad Hameed; Robert Fiedler; Nathaniel Bell; Richard K Simons
Journal:  Can J Surg       Date:  2008-10       Impact factor: 2.089

2.  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

3.  Population-level Spatial Access to Prehospital Care by the National Ambulance Service in Ghana.

Authors:  Gavin Tansley; Barclay Stewart; Ahmed Zakariah; Edmund Boateng; Christiana Achena; Daniel Lewis; Charles Mock
Journal:  Prehosp Emerg Care       Date:  2016-04-13       Impact factor: 3.077

4.  Adaptation and promotion of emergency medical service transportation for climate change.

Authors:  Chih-Long Pan; Chun-Wen Chiu; Jet-Chau Wen
Journal:  Medicine (Baltimore)       Date:  2014-12       Impact factor: 1.889

5.  An innovative emergency transportation scenario for mass casualty incident management: Lessons learnt from the Formosa Fun Color Dust explosion.

Authors:  Ming-Wei Lin; Chih-Long Pan; Jet-Chau Wen; Cheng-Haw Lee; Zong-Ping Wu; Chin-Fu Chang; Chun-Wen Chiu
Journal:  Medicine (Baltimore)       Date:  2021-03-19       Impact factor: 1.817

6.  Leveraging Machine Learning Techniques and Engineering of Multi-Nature Features for National Daily Regional Ambulance Demand Prediction.

Authors:  Adrian Xi Lin; Andrew Fu Wah Ho; Kang Hao Cheong; Zengxiang Li; Wentong Cai; Marcel Lucas Chee; Yih Yng Ng; Xiaokui Xiao; Marcus Eng Hock Ong
Journal:  Int J Environ Res Public Health       Date:  2020-06-11       Impact factor: 3.390

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.