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

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
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

AI-Driven Remote ECG Monitoring and Predictive Analytics: Transforming Cardiac Care from Arrhythmia Detection to Perioperative Optimization

R. S. Moreland, Sonal Chandra, Cole Lyons
American Journal of Healthcare Strategy
ECG Monitoring and Analysis
article

AI-Driven Remote ECG Monitoring and Predictive Analytics: Transforming Cardiac Care from Arrhythmia Detection to Perioperative Optimization

R. S. Moreland, Sonal Chandra, Cole Lyons
article en

Abstract

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.

American Journal of Healthcare StrategyVol. 1(3)
Openalex Percentile: Top 79%
ECG Monitoring and Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.