 The study found that two electrocardiogram based algorithms, ACITP and EACITP, can accurately identify patients with a high probability of having acute coronary syndrome or ST elevation myocardial infarction which could be used to project potential cohorts for clinical trials. The results were superior to those obtained from electronic health records, suggesting that these algorithms could be used to quickly and accurately identify potential participants for clinical trials. This article was authored by Harry P. Selker, Manlit Kwong, Robin Routhazer and others.