HRX NeXt Episode 8: A Conversation About Avoiding Burnout from AI in Busy Clinical Practice
Description
In this episode, Dr. Michael Rosenberg and Dr. Neal Bhatia explore how burnout is hitting cardiology hard — electrophysiologists included. In this episode, we explore what artificial intelligence will actually look like in the next 5–10 years and tackle the big questions: is AI replacing physicians or redefining their role, and will AI help alleviate burnout?

From generative AI to workflow automation, our experts break down how thoughtfully implemented technology can reduce cognitive load, ease administrative burden, and help EPs focus on what matters most — delivering better patient care while reclaiming professional fulfillment.
Learning Objectives
  • Analyze the current drivers and impact of burnout in cardiology, including electrophysiology, and their implications for clinician well-being and patient care.
  • Evaluate the potential role of emerging artificial intelligence applications — including generative AI and workflow automation — in reducing cognitive load and administrative burden in electrophysiology practice. 
  • Integrate evidence-based strategies for implementing AI-enabled tools into clinical workflows to improve efficiency, support physician performance, and enhance patient care outcomes. 
Article Information and Podcast Contributors
Article Authors

Varun Ayyaswami, MD
Allen Chang, MD 

Article Information

Read the Article

Podcast Contributors

Michael Rosenberg, MD
Neal Kumar Bhatia, MD 


Podcast Contributor Disclosures

N. Bhatia
Nothing to disclose.

M. Rosenberg
Nothing to disclose,


Summary
Availability:
On-Demand
Cost:
FREE
 


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Vision:
To end death and suffering due to heart rhythm disorders.

Mission:
To Improve the care of patients by promoting research, education, and optimal health care policies and standards.
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