San Mateo, Calif. – Sept. 13, 2016 – Lumiata, the AI-powered predictive health analytics company, today announced the launch of its Risk Matrix, an advanced predictive tool that calculates an individual's likely future health state based on associated clinical conditions or diagnoses. The tool leverages Lumiata's holistic models built on over 175 million patient-record years, and delivers predictions at an individual level across multiple timeframes to power risk stratification. The Risk Matrix is the industry's only predictive tool that provides evidentiary clinical rationale with each prediction to enable stronger alignment amongst all clinical stakeholders – giving them the confidence to act.

Predicting risk of chronic conditions with accuracy, speed and clinical relevance is the basis for delivering more personalized and timely care, and reducing costs under value-based care models. Lumiata's Risk Matrix supports value-based care by providing precise, real-time predictions for over 20 major diseases such as diabetes, chronic kidney disease and congestive heart failure, so risk bearers can allocate resources appropriately, and care management teams can focus their attention where it matters the most.

"To deliver on the promise of value-based care, the industry desperately needs next-generation tools that can leverage the volume of health data that exists today, make sense of its complexity, and provide personalized, actionable, real-time insights," says Ash Damle, CEO and Founder of Lumiata. "The Risk Matrix uses our medical AI engine to surface the most important insights in ways that fundamentally change the approach and economics of care management. It is a tool that can move us toward a world where health can be predicted with precision and speed."


Multiple studies have shown that care management programs struggle to maximize outcomes or reduce overall costs for individuals with chronic illnesses. By identifying the important clinical signals that are often hidden in the noise that exists in most medical records, Lumiata's Risk Matrix generates personalized risk probabilities with speed, scale and supporting clinical evidence. As a result, providers and care managers are armed with meaningful insights, and better aligned around what actions to take for each patient.

Using AI-powered data analytics today
Lumiata's Risk Matrix is platform agnostic, and can be incorporated into a variety of user workflows and information systems:

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