A5084460411- Emergency and Acute Care Studies
- Medical Coding and Health Information
- Primary Care and Health Outcomes
- Healthcare Policy and Management
- Traumatic Brain Injury and Neurovascular Disturbances
- Vestibular and auditory disorders
- Frailty in Older Adults
- Hip and Femur Fractures
- Acute Ischemic Stroke Management
- Sepsis Diagnosis and Treatment
The University of Notre Dame Australia
2022
Royal Prince Alfred Hospital
2018-2022
The University of Sydney
2018
Abstract Objective To further develop and refine an Emergency Department (ED) in‐patient admission prediction model using machine learning techniques. Methods This was a retrospective analysis of state‐wide ED data from New South Wales, Australia. Six classification algorithms (Bayesian networks, decision trees, logistic regression, naïve Bayes, neural networks nearest neighbour) five feature selection techniques (none, manual, correlation‐based, information gain wrapper) were examined....
Abstract Objective The present study aims to prospectively validate the Sydney Triage Admission Risk Tool (START) predict ED disposition. Methods This was a prospective validation at two metropolitan EDs in Sydney, Australia. Consecutive triage encounters were observed by trained researcher and START scores calculated. primary outcome patient disposition (discharge or inpatient admission) from ED. Multivariable logistic regression used estimate area under curve of receiver operator...
Objective This study aims to validate previously reported triage tool titled Sydney Triage Admission Risk Tool (START+) and investigate whether an extended version of the could be used identify stream appropriate short stay admissions ED observation units or specialised inpatient wards. Methods was a prospective at two metropolitan EDs in Sydney, Australia. Consecutive encounters were observed by trained researcher START scores calculated. The primary outcome length <48 hours....
Abstract Background The Sydney Triage to Admission Risk Tool (START) is a validated clinical analytics tool designed estimate the probability of in-patient admission based on Emergency Department triage characteristics. Methods This was single centre pilot implementation study using matched case control sample patients assessed at ED triage. Patients in intervention group were identified by START as likely requiring and briefly an Consultant. Bed management notified these their admitting...
Abstract Objectives To describe the clinical characteristics and outcomes of Code Stroke activations in an ED determine predictors a final diagnosis stroke or transient ischemic attack (TIA) diagnosis. Methods This was retrospective analysis through over 2 years at quaternary referral centre. Registry data used to identify cases with information abstracted from electronic medical records. The primary outcome acute TIA secondary access reperfusion therapies (thrombolysis endovascular clot...
Abstract Background: The Sydney Triage to Admission Risk Tool (START) is a validated clinical analytics tool designed estimate the probability of in-patient admission based on Emergency Department triage characteristics. Methods: This was single centre pilot implementation study using matched case control sample patients assessed at ED triage. Patients in intervention group were identified by START as likely requiring and briefly an Consultant. Bed management notified these their admitting...
Abstract Background The Sydney Triage to Admission Risk Tool (START) is a validated clinical analytics tool designed estimate the probability of in-patient admission based on Emergency Department triage characteristics. Methods This was single centre pilot implementation study using matched case control sample patients assessed at ED triage. Patients in intervention group were identified by START as likely requiring and briefly an Consultant. Bed management notified these their admitting...
Abstract Background The Sydney Triage to Admission Risk Tool (START) is a validated clinical analytics tool designed estimate the probability of in-patient admission based on Emergency Department triage characteristics.Methods This was single centre pilot implementation study using matched case control sample patients assessed at ED triage. Patients in intervention group were identified by START as likely requiring and briefly an Consultant. Bed management notified these their admitting team...