Abstract: A method for generating a telemetry indication score for a patient using a telemetry analysis system, comprising: (i) receiving, by the telemetry analysis system, medical information about the patient comprising one or more patient demographics, one or more physiological measurements, and/or a patient diagnosis; (ii) analyzing the received medical information using a decision support tool, wherein the decision support tool utilizes telemetry guidelines; (iii) determining, by a trained machine learning algorithm using the results of the decision support tool, a telemetry indication score for the patient comprising a probability of whether the patient is likely to meet the telemetry guidelines; and (iv) providing, via a user interface, a telemetry indication report for the patient, wherein the telemetry indication report comprises the telemetry indication score and further wherein the telemetry indication report comprises evidence supporting the telemetry indication score.