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New study shows EarlySign's machine learning algorithm can predict which cardiac patients are at high-risk following discharge

Press releases may be edited for formatting or style | September 04, 2019 Artificial Intelligence Cardiology


About Medial EarlySign
Medial EarlySign helps healthcare systems with early detection and prevention of high-burden diseases. Their suite of outcome-focused software solutions (AlgoMarkers™) find subtle, early signs of high-risk patient trajectories in existing lab results and ordinary EHR data already collected in the course of routine care. EarlySign's AlgoMarkers are currently helping clients identify patients at high risk for conditions such as lower GI disorders, prediabetic progression to diabetes, downstream diabetic complications, first coronary artery disease (CAD) and equivalent events, and chronic kidney disease (CKD). As healthcare systems transition from volume to value-based care, EarlySign partners with health care organizations to support outcome-focused care delivery, while potentially preventing or delaying the onset of high-burden diseases, downstream complications, and their associated costs. The company's machine learning platform has been supported by peer-reviewed research published by internationally recognized health organizations and hospitals. Founded in 2013, Medial EarlySign is headquartered in Tel Aviv, Israel with US headquarters in Boston, MA.


SOURCE Medial EarlySign

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