Using ambulance surveillance data to characterise blood-borne viral infection histories among patients presenting with acute alcohol and other drug-related harms.
Naomi BeardMichael McGrathDebbie ScottZiad NehmeDaniel I LubmanRowan P OgeilPublished in: Emergency medicine Australasia : EMA (2024)
Our study describes the utility of ambulance data to identify a sub-population of patients with a BBV history and complex medical and social characteristics. Repeat attendances of BBV history patients to paramedics could present an opportunity for ongoing surveillance using ambulance data and possible paramedic intervention, with potential linkage to appropriate BBV services.
Keyphrases
- healthcare
- electronic health record
- end stage renal disease
- big data
- public health
- randomized controlled trial
- mental health
- chronic kidney disease
- primary care
- newly diagnosed
- ejection fraction
- liver failure
- peritoneal dialysis
- drug induced
- machine learning
- emergency department
- emergency medical
- respiratory failure
- data analysis
- gene expression
- intensive care unit
- artificial intelligence
- risk assessment
- hepatitis c virus
- hiv infected
- deep learning
- climate change
- acute respiratory distress syndrome