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Medial EarlySign develops decision support solutions that also enable a new breed of population health management capabilities based on cognitive machine learning and advanced algorithms to expose hidden layers of information in standard EHR data, and across thousands of parameters and interrelationships. We conducted extensive research and built and refined a unique algorithmic toolset that can detect hidden patterns in billions of medical data to deliver critical insights and enable the next generation in clinical decision-making.
EarlySign technology identifies ‘rising risk’ individuals of the population who are most likely to become tomorrow’s high burden patients. The goal is to flag these patients in time so preventative action can be undertaken. This 5% of the population ultimately accounts for 50% of healthcare costs.
We are currently at various stages of developing dozens of AlgoMarkers™ – our predictive engines for a variety of outcomes. Our work ranges from early prediction of cancers to personalized and outcome-based interpretation of lab results, flagging diabetics who are ‘at risk’ of nephropathy, data-driven risk tools for inpatients, and many more.
Our custom solution can deliver data-driven patient-level predictions that lead to targeted, cost-effective management of populations and sub-populations at risk. Using our partners’ data together with our know-how, we enable our customers to build and tailor solutions that indicate individuals and sub populations with elevated risk for severe outcomes.