Patent ID: 11967433
Assignee: MEDAMERICA DATA SERVICES, LLC
Field: Medical technology (Instruments)
Classification: CPC G | IPC G

Claim 0:
1. A method for estimating, in real-time or near-real-time, a risk of acute myocardial infarctions in at least one patient, the method comprising:
extracting batch information at a pre-defined time interval for one or more past patients from an electronic medical records (EMR) database into one or more databases operably connected to a machine learning model;
calculating, using the machine learning model, a risk level for the one or more past patients in the one or more databases, wherein the one or more past patients includes the at least one patient, and the risk level for the at least one patient is calculated using one or more medical feature coefficients obtained from training the machine learning model;
parsing at least one stream of real-time clinical administrative data associated with the at least one patient in a current medical encounter, in real-time or near real-time to identify and extract specified EMR data comprising patient clinical data obtained during the current medical encounter into the one or more databases;
predicting, in real-time or near-real-time, the risk of acute myocardial infarction in the at least one patient, wherein a real-time risk prediction value is estimated by adjusting the calculated risk level for the at least one patient by applying a linear model, different from the machine learning model, to one or more of the medical feature coefficients obtained from the machine learning model and to the specified real-time EMR data from the at least one patient; and
displaying a risk prediction based on the real-time risk prediction value and comprising a recommendation to admit or discharge the at least one patient into or from the medical facility.