On Demand: Bridging Mind and Heart: Ambulatory ECG Monitoring and the Role of Patient Experience-Webinar Recording

Video Transcription

Video Summary

The webinar "Bridging Mind and Heart" explores the intersection of psychology and ambulatory ECG monitoring in cardiovascular health. Joe Sasson, MedAxiom’s EVP, introduces the session focusing on both clinical and psychosocial factors in cardiac care. Dr. Sears, a psychologist embedded in cardiology, emphasizes the high prevalence of anxiety and depression among cardiac patients, highlighting the psychological challenge of coping with uncertainty and fear of the unknown associated with arrhythmias and monitoring. He discusses how ambiguity can exacerbate patient distress, impacting behavior and quality of life, underscoring the need for safety and shared care goals.<br /><br />Dr. Jazayeri, a cardiac electrophysiologist, explains the clinical aspects of ambulatory ECG monitoring, differentiating between types such as Mobile Cardiac Outpatient Telemetry (MCOT) and extended-wear Holter monitors. He stresses the importance of duration and timely data transmission for actionable insights, especially in conditions like post-stroke monitoring. He also acknowledges variability in provider comfort ordering monitors and the rising demand due to consumer wearables generating vast data.<br /><br />Both experts agree that patient engagement through shared decision-making and framing monitoring as a team effort improves compliance and reduces anxiety. They advocate for integrating psychological care into cardiac programs, emphasizing comprehensive health goals that improve quality of life and patient confidence alongside clinical outcomes. Future directions include better data management of wearable devices, AI integration, and expanding care beyond specialized clinics to primary care settings.

Keywords

psychology and cardiology

ambulatory ECG monitoring

cardiovascular health

anxiety in cardiac patients

Mobile Cardiac Outpatient Telemetry

Holter monitors

patient engagement

shared decision-making

AI in cardiac care