Pumping Precision: How AI is Reshaping Cardiac Quality (2025 Quality Summit Presentation (Non-CE)-Pumping Precision: How AI is Reshaping Cardiac Quality

Video Transcription

Video Summary

The discussion centers on how artificial intelligence (AI) is transforming cardiovascular care, featuring insights from Dr. Larry Allen, Dr. Andrew Gonzalez, and other experts. AI applications in cardiology are rapidly expanding, with notable advances in clinical documentation using ambient AI, which streamlines charting and reduces clinician burnout, improving patient interactions and satisfaction. AI is also increasingly used for clinical decision support, diagnostics, and imaging—for example, interpreting ECGs and echocardiograms with enhanced accuracy and efficiency. Remote monitoring through wearables offers early detection of arrhythmias and heart failure progression.<br /><br />Dr. Gonzalez emphasizes the complexity of cardiovascular data and the need for AI to integrate multimodal inputs (text, imaging, sensor data) for personalized, precise patient care while navigating multiple treatment options. The future of AI involves continuous data collection beyond episodic clinical visits, enabling earlier diagnosis and tailored interventions, particularly in primary care settings.<br /><br />Ethical considerations and bias mitigation are critical, as AI can perpetuate existing disparities without deliberate oversight. Successful AI integration requires multidisciplinary collaboration, rigorous evaluation, and trustworthy, equitable implementation. The American College of Cardiology supports this evolution through resources and frameworks guiding responsible AI adoption. Overall, AI is viewed as an essential tool to augment clinicians, improve quality, personalize care, and meet the rising demands and complexities of cardiovascular medicine.

Keywords

2024 Quality Summit

San Antonio

cardiovascular care

Barb Christensen

Dr. Hani Najam

Dr. Olivia Gilbert

quality improvement

digital health

AI in healthcare

Ray Barr Award

artificial intelligence

clinical documentation

ambient AI

clinical decision support

diagnostics

remote monitoring

wearables

ethical considerations