Ty J. Gluckman, MD, MHA, FACC, FAHA, FASPC

Experts discuss how arrhythmia evaluation is tailored based on symptom frequency, severity, and patient risk, using a stepwise approach from short-term to extended monitoring to guide timely and effective diagnosis and management.

Experts discuss how rising arrhythmia burdens and workforce challenges are driving a shift toward team-based care, smarter diagnostics, and artificial intelligence–driven risk stratification to improve outcomes and efficiency.

Experts discuss the persistent clinical and systemic challenges in diagnosing and treating atrial fibrillation, emphasizing the need for earlier identification—especially in high-risk, comorbid populations—while highlighting the limitations of current risk models, the complexity of managing atrial fibrillation burden, and the importance of integrating wearable data into precision-based care without overburdening clinicians or compromising clinical relevance.

Experts discuss the multifaceted management of atrial fibrillation, stressing the importance of addressing comorbid conditions alongside the arrhythmia itself, while highlighting the challenges of underdiagnosis, the rise of subclinical cases detected through wearable technology, and the need to align emerging diagnostic tools with evidence-based care to avoid unnecessary interventions and optimize outcomes.

Experts discuss the complex clinical and economic challenges of atrial fibrillation, emphasizing the need for personalized care that balances symptom management, stroke prevention, and risk factor control—while recent evidence on subclinical atrial fibrillation highlights the limitations of widespread anticoagulation, reinforcing the importance of targeted, value-based strategies for optimal outcomes.

Experts discuss the growing role of early detection and predictive strategies in managing arrhythmias—particularly atrial fibrillation—highlighting the impact of wearable technology, challenges in diagnosis due to intermittent symptoms, and the shift toward more personalized, value-based care driven by timely evaluation and evidence-based interventions.

The analysis highlighted a shift in heart failure diagnoses, with hypertensive heart disease with and without chronic kidney disease as prevalent diagnoses, underlining coding variability and implications for research.

Explore innovative strategies to enhance heart failure treatment through guideline-directed medical therapy, remote monitoring, and artificial intelligence–driven solutions for better patient outcomes.