Abstract: Systems and methods for automated identification of STEMI in accordance with embodiments of the invention are illustrated. One embodiment includes a predictive electronic health record (EHR) system, including a processor, and a memory, the memory containing an EHR management application which configures the processor to obtain preliminary information about a patient via a terminal, store the preliminary information in an EHR, provide the preliminary information to a model trained to predict an emergency medical condition requiring immediate treatment, obtain a likelihood that the patient is suffering from an emergency medical condition from the machine learning model, and provide an alert when the likelihood exceeds a predetermined threshold. In many embodiments, the condition is STEMI, and the preliminary information comprises: age, sex, and at least one chief complaint.