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Article
Open AccessPatient flow in emergency departments: a comprehensive umbrella review of solutions and challenges across the health system
Globally, emergency departments (EDs) are overcrowded and unable to meet an ever-increasing demand for care. The aim of this study is to comprehensively review and synthesise literature on potential solutions ...
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Article
Open AccessImproving preoperative prediction of surgery duration
Operating rooms (ORs) are one of the costliest units in a hospital, therefore the cumulative consequences of any kind of inefficiency in OR management lead to a significant loss of revenue for the hospital, st...
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Article
Open AccessIdentifying patients at risk of unplanned re-hospitalisation using statewide electronic health records
Preventing unplanned hospitalisations, including readmissions and re-presentations to the emergency department, is an important strategy for addressing the growing demand for hospital care. Significant success...
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Article
Open AccessDaily surgery caseload prediction: towards improving operating theatre efficiency
In many hospitals, operating theatres are not used to their full potential due to the dynamic nature of demand and the complexity of theatre scheduling. Theatre inefficiencies may lead to access block and dela...
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Article
The impact of acute pneumococcal disease on health state utility values: a systematic review
Streptococcus pneumoniae infections remain a significant source of morbidity and mortality worldwide. The purpose of this review was to summarize the impact of pneumococcal disease on health state utilities (HSU)...
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Article
Open AccessA risk stratification tool for hospitalisation in Australia using primary care data
Predictive risk models using general practice (GP) data to predict the risk of hospitalisation have the potential to identify patients for targeted care. Effective use can help deliver significant reductions i...
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Article
Open AccessAutomatic detection of tweets reporting cases of influenza like illnesses in Australia
Early detection of disease outbreaks is critical for disease spread control and management. In this work we investigate the suitability of statistical machine learning approaches to automatically detect Twitte...
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Chapter
Cases as a Vehicle for Develo** Knowledge Needed for Teaching
In this chapter, we describe a practice-based curriculum for the professional education of preservice and practicing secondary mathematics teachers that (1) focuses on reasoning-and-proving, (2) has narrative ...
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Chapter and Conference Paper
An Intelligent Approach to Surgery Scheduling
The Multiagent Systems paradigm offers expressively rich and natural fit mechanisms for modeling and negotiation for solving distributed problems. Solving complex and distributed real world problems in dynamic...
