Lumiata Launches Its AI-Powered Risk Matrix that Improves Care Coordination and Risk Management

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:

• First, customer datasets – claims, EHR data, labs and other data types – are collected, organized and harmonized by Lumiata using the Fast Healthcare Interoperability Resources (FHIR) standard.
• Second, the data is run through the Risk Matrix deep learning models, rapidly generating insights for each individual. Once customer data is initially mapped into FHIR, the Risk Matrix output can be generated for over a million records in less than three hours.
• Finally, end users can access Risk Matrix analyses via an FHIR-compliant API, allowing them to incorporate the output into existing workflows to maximize adoption and action.

"One of the biggest challenges for any risk bearer, but certainly for large health plans, is the struggle to fully utilize the different data types that are available today," says Ed Cymerys, former Chief Actuary at Blue Shield of California. "More precise predictions are necessary, but not sufficient to fundamentally improve risk and care management in a value-based model. Strong predictions coupled with clinical evidence help overcome one of the industry's biggest challenges – giving providers the confidence to act."

For more information on the Risk Matrix, please visit riskmatrix.lumiata.com

About Lumiata

Lumiata is a predictive analytics company that leverages medical artificial intelligence to enable health organizations to manage risk and prioritize care. The Lumiata Risk Matrix delivers precise, clinically-relevant predictions on individual risk over specific timeframes, with accompanying medical evidence. The company's core technological engine is the Lumiata Medical Graph, which analyzes hundreds of healthcare data sets within the context of clinical practice and the world's medical knowledge, and maps out insights on current and future health trajectories of individuals. Founded in 2013 and based in Silicon Valley, Lumiata's team is comprised of clinicians, data scientists, and experts in care delivery. For more information, visit www.lumiata.com or follow @lumiata.

Logo - http://photos.prnewswire.com/prnh/20160912/406708LOGO  
Photo - http://photos.prnewswire.com/prnh/20160912/406710

SOURCE Lumiata

Related Links

http://www.lumiata.com