Artificial Intelligence Interpretation Accelerates Diagnostic Workflow
Machine learning algorithms trained on millions of electrocardiogram recordings now automatically flag suspected arrhythmias for physician review, dramatically reducing the manual strip-reading burden that previously required certified cardiac technicians to review every minute of recorded data before a cardiologist could confirm findings. Vendors including iRhythm Technologies have invested heavily in proprietary interpretation algorithms that reduce turnaround time from initial recording to physician-confirmed diagnosis, a metric increasingly cited in vendor marketing materials targeting time-pressed cardiology practices. This automation shift is expanding the addressable prescriber base beyond cardiology specialists into primary care physicians who previously lacked the diagnostic expertise required.
Market Impact: Patients over 65 drove 58% share








