Feasibility of identifying important changes in care management resulting from cardiovascular magnetic resonance (CMR) using hospital episode data in patients who activate the primary percutaneous coronary intervention (PPCI) pathway.
Maria PufuleteJessica HarrisStephen DormanLynn CookChiara Bucciarelli-DucciJohn P GreenwoodRichard AndersonRachel BrierleyBarnaby C ReevesPublished in: BMC medical research methodology (2019)
It is feasible to identify changes in care management between patients who have / do not have CMR within relevant patient subgroups. Further work to derive a weighting algorithm is required before attempting to combine the events in a composite endpoint.
Keyphrases
- healthcare
- magnetic resonance
- percutaneous coronary intervention
- end stage renal disease
- palliative care
- newly diagnosed
- quality improvement
- ejection fraction
- chronic kidney disease
- acute coronary syndrome
- machine learning
- coronary artery disease
- peritoneal dialysis
- prognostic factors
- pain management
- deep learning
- st segment elevation myocardial infarction
- coronary artery bypass grafting
- electronic health record
- emergency department
- antiplatelet therapy
- atrial fibrillation
- magnetic resonance imaging
- affordable care act
- heart failure
- computed tomography
- health insurance
- patient reported
- data analysis
- artificial intelligence
- left ventricular
- neural network
- coronary artery bypass