Quick Summary
A recent study published in Mayo Clinic Proceedings: Digital Health highlights the cost-effectiveness of using AI-enhanced electrocardiograms (AI-ECG) for heart failure screening. This research builds on earlier findings that showed AI tools help primary care clinicians identify more cases of low ejection fraction, a condition indicating a weak heart pump.
Key Findings
- AI-ECG screening is cost-effective in outpatient settings, with a cost-effectiveness ratio of $1,651 per quality-adjusted life year.
- The overall cost-effectiveness ratio for AI-ECG was found to be $27,858 per quality-adjusted life year.
- AI tools can detect subtle declines in heart function that may not present symptoms, allowing for earlier intervention and treatment.
Study Methodology
- The researchers analyzed data from 22,000 participants in the EAGLE trial to assess the economic impact of AI-ECG screening.
- They simulated disease progression and evaluated the costs associated with different care paths, including the need for echocardiograms and potential hospitalizations.
Expert Insights
Dr. Peter Noseworthy, a Mayo Clinic cardiologist and co-author of the study, emphasized the importance of using AI to identify hidden signs of heart failure during routine visits. This approach can lead to timely treatment, potentially reducing long-term healthcare costs.
Dr. Xiaoxi Yao, the senior author, noted that understanding the cost-effectiveness of AI technologies is crucial for their implementation in clinical practice. The study aims to establish a framework for evaluating and integrating AI tools into healthcare settings.
Funding and Disclosure
This research was supported by the Mayo Clinic Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery. The Mayo Clinic and some researchers have a financial interest in the AI technology discussed in the study, with any revenue generated being reinvested into patient care, education, and research.
Sources
- Cost-Effectiveness of AI-Enabled Electrocardiograms for Early Detection of Low Ejection Fraction – ScienceDirect
- Artificial Intelligence-Enhanced Electrocardiography in Cardiovascular Disease Management – Nature Reviews Cardiology
- AI Tool for Heart Failure Screening Demonstrates Long-Term Cost Savings – News Medical