Press Room

Driving Health Improvements through Greater Patient Engagement to be presented at Self-Insurance Institute of America (SIIA) National Education Conference & Expo

LexisNexis® Risk Solutions cited as a Representative Vendor in the report



Monday, October 19, 2015
10:15-11:30 am


In America’s quest to improve the health of chronically ill populations, what is often ignored but matters most is what’s happening at the individual level. It is important to understand that no two individuals have the same health risks – a fact that is critical to developing effective care plans that optimize clinical resources and maximize clinical outcomes.

Successful outcomes also require engaged patients. The right combination of claims analytics and predictive science can provide specific insight into an individual’s risk drivers and motivators to improve their health.

“Driving Health Improvements through Greater Patient Engagement”explores the science behind building the right stratification tiers, predictions and scores to improve stratification for better health outcomes. Case examples will be presented that illustrate where this approach was taken and its impact on population health management.


Kathy Mosbaugh
Vice President, Clinical Solutions
LexisNexis Risk Solutions
(co-presentation with Health Smart)


SIIA 2015 National Education Conference & Expo
Marriott Marquis
Washington, DC

About LexisNexis Risk Solutions
At LexisNexis Risk Solutions, we believe in the power of data and advanced analytics for better risk management. With over 40 years of expertise, we are the trusted data analytics provider for organizations seeking actionable insights to manage risks and improve results while upholding the highest standards for security and privacy. Headquartered in metro Atlanta USA, LexisNexis Risk Solutions serves customers in more than 100 countries and is part of RELX Group, a global provider of information and analytics for professional and business customers across industries. For more information, please visit

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