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

Presentation Slides

Pdf Summary

This presentation, part of the 2025 MedAxiom Cardiology Care Pathway Series, features Dr. Abhishek Deshmukh, an Associate Professor of Medicine and Cardiac Electrophysiologist at Mayo Clinic, alongside Dr. Sanjeev Bhavnani, Senior Cardiologist at Scripps Clinic Medical Group. The focus is on optimizing ECG management to enhance operational efficiency and patient outcomes in cardiology.<br /><br />Dr. Deshmukh discusses the critical role of advanced ECG technologies and management strategies in early detection and intervention for cardiac diseases. Highlighted is the use of AI algorithms for cardiovascular disease detection, including screening for low ejection fraction (EF) via the ECG AI-Guided Screening for Low EF (Eagle) Trial. The presentation underscores the importance of leveraging robust digital medical data warehouses to improve test performance and facilitate timely clinical decisions.<br /><br />Case studies illustrate how AI-enhanced ECG analysis can track disease progression, estimate vascular or ECG age as biomarkers, and even guide therapeutic interventions such as cardiac resynchronization therapy (CRT). Patients' subjective improvements post-intervention emphasize the clinical benefits of such approaches.<br /><br />Despite challenges, practical deployment of AI in ECG interpretation shows promise for advancing personalized medicine, improving screening programs, and guiding treatment pathways. The talk also addresses the evolving landscape of healthcare delivery driven by digital innovation, changes in payment models, and growing consumerism.<br /><br />In summary, integrating AI and sophisticated ECG management protocols holds potential to detect cardiac dysfunction earlier, enable precision care, and ultimately improve patient outcomes in cardiovascular medicine. However, ongoing research, validation, and careful implementation remain essential to fully realize these benefits.

Keywords

ECG management

AI algorithms

cardiovascular disease detection

low ejection fraction screening

digital medical data warehouses

cardiac resynchronization therapy

personalized medicine

cardiology care pathways

AI-enhanced ECG analysis

operational efficiency in cardiology