Philips has positive AI-powered cardiac monitoring data

Philips announced retrospective study results demonstrating the benefits of its AI-powered cardiac care, specifically through mobile cardiac monitoring technology. The studies showed that early detection of adverse cardiac events using this technology can lead to potentially life-saving interventions, reduce readmissions, and lower healthcare costs. The data, highlighting both clinical and economic advantages, will be presented at the Heart Rhythm Society’s annual meeting in Boston.

The research compared outcomes for stroke patients using Philips' mobile cardiac outpatient telemetry (MCOT) wearable ECG sensor against implantable loop recorders (ILRs). Over 18 months post-stroke, patients monitored with MCOT had significantly lower readmissions (30.2% vs. 35.4% with ILR) and reduced average costs by $27,429. The study also noted decreased emergency department visits and higher survival rates for patients with complications and comorbidities from the index stroke.

Manish Wadhwa, Philips' chief medical officer for Ambulatory Monitoring & Diagnostics, emphasized that the choice of monitoring technology impacts cost-effectiveness and patient outcomes. He highlighted that Philips’ AI-powered data platform behind MCOT enables care teams to make quick, impactful, and cost-effective decisions for cardiac patients, supported by high-quality data.