Ambulance Dispatch Prioritisation of Road Crash Patients:
A Retrospective Study Using Population-Based Linked Data

QR Code

Ambulance Dispatch Prioritisation of Road Crash Patients: A Retrospective Study Using Population-Based Linked Data

This thesis aimed to improve the accuracy of dispatching ambulances to road crashes by identifying the need for a lights and sirens (L&S) response. The current system of dispatching ambulances had low accuracy in predicting the need for L&S response. To address this, predictive models utilis...

Full description

Bibliographic Details
Main Author:	Ceklic, Ellen
Format:	Thesis
Published:	Curtin University 2023
Online Access:	http://hdl.handle.net/20.500.11937/93621

Similar Items

Motor Vehicle Crash Characteristics That Are Predictive of High Acuity Patients: An Analysis of Linked Ambulance and Crash Data
by: Ceklic, Ellen, et al.
Published: (2020)

A Systematic Review of the Relationship Between Ambulant Status and the Need for a Lights-and-Siren Ambulance Response to Crashes
by: Ceklic, Ellen, et al.
Published: (2020)

Association between ambulance dispatch priority and patient condition
by: Ball, Stephen, et al.
Published: (2016)

How likely is the patient to be in cardiac arrest? Caller breathing descriptors in ambulance calls that were dispatched as cardiac arrest
by: Perera, Nirukshi, et al.
Published: (2025)

Stroke public awareness campaigns have increased ambulance dispatches for stroke in Melbourne, Australia
by: Bray, Janet, et al.
Published: (2011)

Health conditions of heavy vehicle drivers involved in a crash in Western Australia: a retrospective study using linked data
by: Lee, Andy, et al.
Published: (2005)

Analysis of Road Traffic Crashes Data of Perak State in Malaysia
by: Abd Rahman, Raha, et al.
Published: (2023)

Analysis of Road Traffic Crashes Data of Perak State in Malaysia
by: Abd Rahman, Raha, et al.
Published: (2023)

Analysis of Road Traffic Crashes Data of Perak State in Malaysia
by: Abd Rahman, Raha, et al.
Published: (2023)

Towards zero road crashes
by: Kc Mani, Khulanthayan
Published: (2024)

Predicting sepsis using prehospital data from the ambulance service: A linked data cohort study
by: Williams, Teresa, et al.
Published: (2016)

The Effectiveness of Cataract Surgery in Reducing Motor Vehicle Crashes: A Whole Population Study Using Linked Data
by: Meuleners, Lynn, et al.
Published: (2012)

Why Cochrane should prioritise sharing data
by: Shokraneh, Farhad, et al.
Published: (2018)

Identification of Hazardous Road Sections: Crash Data versus Composite Index Method
by: Intan Suhana, Mohd Razelan, et al.
Published: (2014)

Malaysian road traffic crash data: Where do we stand now
by: Ahmad Noor Syukri, Zainal Abidin, et al.
Published: (2021)

Identification of hazardous road sections: crash data versus composite index method
by: Mohd Razelan, Intan Suhana, et al.
Published: (2014)

Safety Analysis Of Unsignalized Intersections Under Erroneous Road Crash Data Influence
by: Ahmed, Ashar
Published: (2016)

Prioritising Scientific Data In Covid-19 Vaccine Policy
by: Ahmad Mahfuz, Gazali
Published: (2022)

Use of conspicuity aids by cyclists and risk of crashes involving other road users: population based case-control study
by: Miller, Philip, et al.
Published: (2017)

Does traumatic brain injury lead to criminality? A whole-population retrospective cohort study using linked data
by: Schofield, P., et al.
Published: (2015)

Prioritising CPR Education
by: Sri Ameera, Abdul Rahim *, et al.
Published: (2023)

Locating Problematic Road Sections: Comparisons between Crash Data and Composite Index Method
by: Intan Suhana, Mohd Razelan, et al.
Published: (2015)

The use of conspicuity aids by cyclists and the risk of crashes involving other road users: a population based case-control study
by: Miller, Phil
Published: (2012)

The trend of road traffic crashes at urban signalised intersection
by: Nurul Farhana, Nasarrudin, et al.
Published: (2018)

Workers survived from commuting road crashes: who are they?
by: Sahak, Nurrul Hafeezah, et al.
Published: (2020)

Motor vehicle crashes and dementia: A population-based study
by: Meuleners, Lynn, et al.
Published: (2016)

Potential application of Artificial Neural Network (ANN) analysis method on Malaysian road crash data
by: Ahmad Noor Syukri, Zainal Abidin, et al.
Published: (2021)

Prioritising Intentions on the Margins: Effects of Marginally Higher Prioritisation Strategies on Physical Activity Participation
by: Chatzisarantis, Nikos, et al.
Published: (2016)

A semi-automated requirements prioritisation technique for scalable requirements with stakeholder quantification and prioritisation
by: Hujainah, Fadhl Mohammed Omar
Published: (2019)

Blackspot analysis of road traffic crashes in Surabaya - Manyar Toll Road, East Java
by: Hartatik, Nurani, et al.
Published: (2021)

Varsities prioritise welfare of students
by: Endan, Nor Hayati
Published: (2020)

Equal Prioritisation Does Not Yield Lower Levels of Participation in Physical Activities than Higher Prioritisation
by: Chatzisarantis, Nikos, et al.
Published: (2015)

Road crash and injury of bus and taxi drivers in Hanoi, Vietnam
by: La, Quang Ngoc
Published: (2011)

Cervical spine injuries sustained by motorcyclists in road crashes in Malaysia
by: Ooi, Soo Shen, et al.
Published: (2005)

Lambda-Based Prioritisation In Multichannel Optical Ip Network
by: Yahya, Wan Salman
Published: (2003)

Epidemiology of trauma patients attended by ambulance paramedics in Perth, Western Australia
by: Brown, E., et al.
Published: (2018)

Frequent attenders at emergency departments: a linked-data population study of adult patients
by: Jelinek, G., et al.
Published: (2008)

King Prioritise research in new fields
by: Siti Nur Azwin, Zulkapri
Published: (2023)

Public prioritisation of energy affordability in the UK
by: Demski, Christina, et al.
Published: (2017)

UMP prioritises welfare and safety of students
by: Siti Nur Azwin, Zulkapri
Published: (2020)