MEDai Places First for Most Accurate Models in
International Predictive Modeling Competition

February 10, 2005 – (Orlando, FL) - MEDai, Inc., an Orlando-based firm that assists healthcare organizations in improving care by forecasting high-risk patients, announced today that it won first place in the prestigious international German Classification Society competition, also known as the GFKL. This win will be added to a growing list of international awards MEDai has received in the area of predictive modeling and data mining over the years. In 2003 and 2004, MEDai placed first in the world of predictive modeling, winning both tasks assigned within the International ACM KDD competition. MEDai's Lead Scientist, David Vogel, will present the results of MEDai's analysis at the 29th Annual Conference of the German Classification Society in Germany this March.
MEDai's award-winning predictive technology is the foundation for their Risk Navigator Clinical™. Risk Navigator Clinical accurately forecasts high-risk members where there is the greatest opportunity to impact cost and quality of care. Their prediction engine uses the right combination of linear and non-linear models to correctly "fit" the characteristics of an organization's population. The result is improved accuracy that can be traced right to the bottom line through improved management, more focused programs and better resource allocation.
"MEDai's technology with its ability to provide the most accurate predictions at an individual member level has benefited the healthcare industry for many years," said Steve Epstein, President and CEO of MEDai. "Winning the 2005 GFKL award attests to the power of our modeling engine and confirms our technology's ability to resolve the rising cost issues facing healthcare today," he added.

About MEDai
MEDai, Inc. is a leading health information company offering award-winning solutions for the improvement of healthcare delivery. Utilizing cutting edge technology, payors and care management organizations are able to predict patients at risk, identify cost drivers for their high-risk population, forecast future health plan costs, evaluate patient patterns over time, and improve outcomes.

For More Information Contact:
Swati Abbott, VP, Business Development
MEDai, Inc.
800-446-3324