On Demand: Cardiology Care Pathway Series: ECG Management to Improve Operational Efficiencies and Outcomes-Webinar Recording

Video Transcription

Video Summary

In a MedAxium and GE Healthcare-sponsored webinar, experts discussed how advanced ECG management and AI can revolutionize cardiac care by improving operational efficiencies, early disease detection, and patient outcomes. Dr. Abhishek Deshmukh highlighted AI’s ability to extract hidden insights from a standard 12-lead ECG, such as predicting low ejection fraction and physiological "ECG age," which can guide treatment decisions before overt symptoms arise. Clinical trials demonstrate AI ECG’s high accuracy and FDA approval with emerging billing codes support its growing adoption. Dr. Sanjeev Bhavnani described real-world integration of digital ECG technologies and wearables into cardiology practices, emphasizing the economic benefits of remote patient monitoring, early arrhythmia detection, and streamlined workflows. They also highlighted challenges like managing large-scale data, minimizing false positives from consumer devices, and ensuring AI outputs are interpretable and trustworthy to clinicians. Both stressed the importance of aligning AI integration with clinical problems, workflow efficiencies, and collaboration with IT and vendors. Future prospects include expanded AI algorithms for diagnosing valvular and coronary diseases and enhancing patient engagement. Overall, AI-powered ECG analytics present a scalable, cost-effective method to advance personalized cardiac care, especially in resource-limited settings, while urging continued validation, education, and multi-disciplinary collaboration for successful implementation.

Keywords

AI ECG management

cardiac care

early disease detection

12-lead ECG insights

FDA approval

digital ECG integration

remote patient monitoring

arrhythmia detection

personalized cardiac care