AI-Driven Remote ECG Monitoring and Predictive Analytics: Transforming Cardiac Care from Arrhythmia Detection to Perioperative Optimization
Cardiac care is undergoing a significant transformation, fueled by the rapid adoption of artificial intelligence (AI), advanced analytics, and connected medical devices. This evolution is especially apparent in two critical areas of cardiovascular medicine: arrhythmia detection through remote electrocardiogram (ECG) monitoring and predictive analytics to optimize perioperative outcomes. From early diagnosis of atrial fibrillation (AFib) in outpatient settings to reducing postoperative complications in the surgical suite, these technologies are reshaping the standard of care. This article explores how AI ECG interpretation and data analytics are converging to improve clinical decision-making, patient outcomes, and healthcare operations, drawing on insights from both clinicians and industry experts.
Authors
- R. S. Moreland (ORCID: https://orcid.org/0009-0007-5875-0081)
- Sonal Chandra (ORCID: https://orcid.org/0009-0007-6478-902X)
- Cole Lyons
Publication Details
- Journal
- American Journal of Healthcare Strategy
- Published
- 2025-01-01
- DOI
- https://doi.org/10.61449/ajhcs.2025.8
- Primary Topic
- ECG Monitoring and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00