Mayo Clinic’s AI-powered ECG saves thousands in medical costs: Study

Using an AI-powered electrocardiogram to diagnose low ejection fraction produced a cost-effectiveness ratio of $27,858 per quality-adjusted life year, according to a study published Oct. 25 in Mayo Clinic Proceedings: Digital Health.

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Rochester, Minn.-based Mayo Clinic researchers analyzed data from 22,000 clinical trial participants, following those with and without low ejection fraction. They simulated the long-term progression of low ejection fraction, assigning values for health burden and economic effect, according to a Dec. 4 news release from Mayo Clinic. 

“We categorized patients as either AI-ECG positive, meaning we would recommend further testing for low ejection fraction, or AI-ECG negative with no further tests needed. Then we followed the normal path of care and looked at what that would cost,” Xiaoxi Yao, PhD, professor of health services research at Mayo Clinic and senior author of the study, said in the release. 

The use of AI-powered ECG also resulted in a $1,651 cost-effectiveness ratio per quality-adjusted life year in outpatient settings. 

Read the full study here.

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