PRESS RELEASE published on 01/23/2024 at 14:30, 1 year 2 months ago New Study Published in Nature Scientific Reports Shows Industry-Leading Performance for Waymark Signal in Predicting Avoidable ER and Hospital Utilization Waymark, the Medicaid provider enablement company, has published a peer-reviewed study in Nature's Scientific Reports demonstrating that Waymark Signal is 90 percent accurate in predicting avoidable emergency room and hospital visits for patients receiving Medicaid. The study found that Waymark Signal's machine learning approach outperformed traditional Medicaid risk models, identifying at-risk patients 3 times better and predicting costs 10 times better. The study also highlighted the reversal of Black-White prediction bias observed in most risk models, providing valuable guidance for addressing care disparities. Waymark works directly with Medicaid health plans and primary care providers to deliver technology-enabled, community-based care. The company's local care teams use Waymark Signal to identify and outreach patients at risk of avoidable ER and hospital utilization, paving the way for more accessible and equitable pathways to better health for underserved communities. Machine Learning Community-based Care Waymark Signal Medicaid Avoidable ER Visits
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