Emergency medicine Australasia : EMA
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Emerg Med Australas · Jun 2020
Using data mining to predict emergency department length of stay greater than 4 hours: Derivation and single-site validation of a decision tree algorithm.
Health services have an imperative to reduce prolonged patient length of stay (LOS) in ED. Our objective is to develop and validate an accurate prediction model for patient LOS in ED greater than 4 hours using a data mining technique. ⋯ This model performed very well in predicting ED LOS >4 hours for each individual patient and demonstrated a number of clinically relevant patterns. Identifying patterns that influence ED LOS is important for health managers in order to develop and implement interventions targeted at those clinical scenarios. Future work should look at the utility of displaying individual patient risk of ED LOS >4 hours using this model in real-time at the point-of-care.
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Emerg Med Australas · Jun 2020
Informing Emergency Care for COVID-19 patients: The COVID-19 Emergency Department (COVED) Quality Improvement Project Protocol.
There is an urgency to support Australian ED clinicians with real-time tools as the COVID-19 pandemic evolves. The COVID-19 Emergency Department (COVED) Quality Improvement Project has commenced and will provide flexible and responsive clinical tools to determine the predictors of key ED-relevant clinical outcomes. ⋯ This project will support EDs during this pandemic.
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Emerg Med Australas · Jun 2020
Consumer involvement in emergency medicine research: Lessons from engaging sepsis survivors.
Collaboration with consumers is an emerging focus for medical researchers worldwide. Public involvement is increasingly encouraged, and in some cases stipulated by funding bodies, in order to secure financial support. While consumer involvement could be viewed as another hurdle in the funding application process, it can add immense value to research outcomes. However, given the diverse and transient nature of our consumer group, how can we develop meaningful public engagement in emergency medicine research?