259: An Observational Study Describing the Geographic-Time Distribution of Cardiac Arrests in Singapore: What is the Utility of Geographic Information Systems for Planning Public Access Defibrillation?

Ong, Marcus Eng Hock; Tan, Ek Khoon; Yan, Xuexian; Anushia, P.; Lim, Swee Han; Leong, Benjamin Sieu‐Hon; Ong, Venetia; Tiah, Ling; Yap, Swee Peng; Overton, Jerry; Anantharaman, Venkataraman

doi:10.1016/j.annemergmed.2008.01.230

Cited by 2 publications

(3 citation statements)

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“…In recent years, GIS has assisted the EMS domain in many ways. Ong et al (2008) had used GIS with a national cardiac arrest database to derive the geographical distribution pattern of pre-hospital cardiac arrest in Singapore. Pathak et al (2011) used GIS to analyze the cluster of non-transported and transported cardiac decedents in terms of distances to the closest hospitals.…”

Section: Literature Reviewmentioning

confidence: 99%

GIS Assessment of Emergency Medical Response Infrastructure

Huang

Liu

Chen

et al. 2013

Computing in Civil Engineering

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The effectiveness of emergency medical service (EMS) depends on the existing physical infrastructure and the allocation of medical resources. EMS is a challenging task due to the spatial distribution of the population and the geographical layout in the urban region. The management of emergency medical units (EMUs) and hospitals should be assessed to provide an efficient service. The objective of this research effort is to assess the current EMS of New Taipei City using geospatial analyses such as facilities' service area. In this study, spatial statistics for EMUs and hospitals are conducted. In addition, regions that cannot be reached within 10 minutes under pre-assumed conditions by EMUs are discovered, and interpolation of the travel interval is conducted and investigated. The geospatial arrangement of EMUs, and the upgrade or new constructions of hospitals are suggested to strengthen the efficiency of the emergency medical response. Future work is directed towards more advanced and complex spatial and temporal analyses to better assess the city's medical infrastructure.

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Section: Literature Reviewmentioning

confidence: 99%

GIS Assessment of Emergency Medical Response Infrastructure

Huang

Liu

Chen

et al. 2013

Computing in Civil Engineering

View full text Add to dashboard Cite

show abstract

“…12 This was partly attributed to increased demand on ambulance services. Ong et al 13 showed that the mean EMS response time in Singapore was 9.6 min, making bystander PAD an essential link to be developed in the chain of survival. Numerous studies have found that early defibrillation, irrespective of the defibrillation provider, was associated with neurologically favorable outcomes.…”

Section: Limitation In Improvement Of Ems Response Timesmentioning

confidence: 99%

“…14,27 OHCAs are in a way predictable events and have a definite geographical distribution 11 which is related to underlying population demographics and day/night movement of populations. 11,13 Placing AEDs in certain locations have shown to improve survival-sports facilities, airports and casinos, with caveat that there are responders onsite. 8,28 In the context of a casino, using nonmedical personnel such as security officers, Valenzuela et al 8 was able to demonstrate improved survival rates for OHCAs due to ventricular fibrillation.…”

Section: Difference In Type Of Locationmentioning

confidence: 99%