Supporting the ambulance service to safely convey fewer patients to hospital by developing a risk prediction tool: Risk of Adverse Outcomes after a Suspected Seizure (RADOSS)-protocol for the mixed-methods observational RADOSS project.
Adam J NobleSuzanne M MasonLaura J BonnettMarkus ReuberJasmine WrightRichard PilberyRichard M JacquesRebecca M SimpsonRichard CampbellAlison FullerAnthony Guy MarsonJon Mark DicksonPublished in: BMJ open (2022)
WP1a and WP2 will be conducted under database ethical approval (IRAS 307353) and Confidentiality Advisory Group (22/CAG/0019) approval. WP1b and WP3 have approval from the University of Liverpool Central Research Ethics Committee (11450). We shall engage in proactive dissemination and knowledge mobilisation to share findings with stakeholders and maximise evidence usage.
Keyphrases
- healthcare
- end stage renal disease
- newly diagnosed
- ejection fraction
- chronic kidney disease
- adverse drug
- randomized controlled trial
- public health
- drug administration
- peritoneal dialysis
- pulmonary embolism
- prognostic factors
- quality improvement
- patient reported outcomes
- machine learning
- big data
- cross sectional
- acute care
- deep learning