Automate learning and documentation during your cardiology fellowship

AI scribes transcribe your spoken observations during catheterization procedures, allowing you to document findings in real-time without stopping to write notes. This continuous documentation creates a more comprehensive record of the procedure while maintaining your focus on the patient.

After reviewing the AI-generated notes for accuracy, you can copy and paste them directly into your cardiology EHR system. This workflow applies to specialized cardiology EHRs as well as general hospital systems with cardiology modules.

When interpreting ECGs, Holter monitors, or electrophysiology studies, you can verbally describe the rhythm abnormalities, intervals, and treatment recommendations. The AI scribe creates a text record of your analysis that can be refined before being added to the patient's chart.

You can verbally describe what you observe during imaging studies, and the AI scribe converts this into structured notes. This works particularly well for the narrative elements of echo reports, nuclear studies, and stress test interpretations that require detailed descriptions of cardiac function and anomalies.

AI scribes recognize most cardiology terminology including conditions, procedures, medications, and measurement values. For highly specialized terms or new procedures, you may need to review and edit the transcription to ensure accuracy, especially for terms like specific channelopathies or emerging interventional techniques.

During research rotations, AI scribes capture your spoken observations about patient cohorts, literature reviews, or research protocols. This creates a searchable repository of your research thoughts that complements formal data collection and helps with subsequent manuscript preparation.