ORLANDO, Fla., Dec. 15 /PRNewswire/ -- MEDai, Inc., headquartered in Orlando, FL, a leading provider of advanced solutions for healthcare that utilize award-winning predictive modeling technology, announced earlier this week that Steve Epstein, President and CEO of MEDai, was selected as a featured speaker at this years BCBSA eBusiness Summit held December 1-3, 2004 in Palm Harbor, FL. Mr. Epstein presented “Understanding Third Generation Predictive Models.” The presentation focused on understanding the differences and benefits of various predictive modeling technologies and identifying key characteristics in choosing a predictive modeling system.
MEDai’s Risk Navigator Clinical accurately identifies prospective high- risk patients to improve patients’ health and quality of care while controlling cost. The advantage of MEDai’s prediction engine is its use of the right combination of linear and non-linear models to correctly “fit” the characteristics of the client’s population. Without eliminating outliers -- the very events clients want to predict -- Risk Navigator Clinical consistently yields the highest accuracy available as evidenced by their performance in The Association for Computing Machinery’s Knowledge Discovery and Data Mining (ACM KDD) competition. This is MEDai’s fourth year competing in the ACM KDD competition and second consecutive year placing first. The company has always placed in the top four.
“Third generation predictive models incorporate a blend of Artificial Intelligence and Bayesian methodologies. The strength of this blended heuristic approach is its ability to learn by example and address the questions of linearity and missing data in real time,” said Mr. Epstein. “Utilizing these third generation predictive models provides great benefit to organizations trying to manage their members who have chronic diseases,” 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, Vice President Business Development MEDai, Inc. (800) 446-3324
MEDai, Inc.
CONTACT: Swati Abbott, Vice President, Business Development, MEDai,Inc., +1-800-446-3324
Web site: http://www.medai.com/