A Novel Algorithm for Improving the Diagnostic Accuracy of Prehospital ST-Elevation Myocardial Infarction.
Mathew GoebelFlorin VaidaChristopher KahnJ Joelle DonofrioPublished in: Prehospital and disaster medicine (2019)
Prehospital STEMI ECGs can be accurately stratified to high, intermediate, and low probabilities for STEMI using the four criteria. While additional study is required, using this tiered algorithmic approach in prehospital ECGs could lead to changes in CCL activation and decreased requirements for physician overread. This may have significant clinical and quality implications.
Keyphrases
- st elevation myocardial infarction
- percutaneous coronary intervention
- cardiac arrest
- trauma patients
- emergency medical
- st segment elevation myocardial infarction
- emergency department
- acute coronary syndrome
- coronary artery disease
- machine learning
- deep learning
- liver injury
- quality improvement
- atrial fibrillation
- drug induced