Abstract:
A system for processing ECG recordings from multiple patients includes a preprocessing database containing unprocessed ECG records from multiple patients, a reporting database containing processed ECG records from multiple patients, a processor, and a triage module executable on the processor to assess each of the unprocessed ECG recordings from the multiple patients. The triage module is executable to detect a presence or absence of one or more known abnormalities and determines at least one abnormality identifier based on the detected known abnormality. One or more abnormality groups are then identified based on the abnormality identifiers. A normal group of ECG recordings from multiple patients is then identified from those ECG recordings that are not in the abnormality group. The normal group of ECG recordings is then stored in the reporting database then associated a normal identifier.
Abstract:
The system of the present application includes computerized diagnostic ECG that is tailored for the EMR. The system and method of the present application provides several new approaches to the computerized ECG based on information available from the EMR through an EMR portal. Some of these information items include: Test indication and reason for performing the ECG, previous ECGs as a measure of the patient's “normal” baseline; electrolytes, and drugs known to cause cardiac toxicity/prolonged QT. Based on these inputs, the computerized ECG analysis will behave differently, including the formation of reports, the ancillary information supplied with the ECG and the interpretation itself.
Abstract:
A system for processing ECG recordings from multiple patients includes a preprocessing database containing unprocessed ECG records from multiple patients, a reporting database containing processed ECG records from multiple patients, a processor, and a triage module executable on the processor to assess each of the unprocessed ECG recordings from the multiple patients. The triage module is executable to detect a presence or absence of one or more known abnormalities and determines at least one abnormality identifier based on the detected known abnormality. One or more abnormality groups are then identified based on the abnormality identifiers. A normal group of ECG recordings from multiple patients is then identified from those ECG recordings that are not in the abnormality group. The normal group of ECG recordings is then stored in the reporting database then associated a normal identifier.