MEDai Presents on Transitioning Predictive Modeling Integration From Care Management to Actuarial Applications

ORLANDO, Fla., Jan. 21 /PRNewswire/ -- MEDai, Inc., headquartered in Orlando, FL, a leading provider of predictive analytic solutions, announced today that has been invited by World Research Group to present at the 4th Annual Conference on Predictive Modeling for Underwriting Conference. This year’s conference is being held in Orlando, FL and focuses heavily on the importance of effectively integrating predictive modeling into overall underwriting and actuarial processes.

“Predictive modeling is no longer unique to care management,” said Swati Abbott, President of MEDai. “This is a great opportunity to share with stakeholders how to best leverage predictive analytics across departments and in existing processes,” she added.

For more than a decade, MEDai’s predictive modeling applications have accurately forecasted prospective high-risk patients to improve patients’ health and quality of care while controlling cost. MEDai’s Risk Navigator Clinical (R) and Risk Navigator Financial(TM) bridge the gap between clinical and financial objectives, providing a consistent approach to strategically managing medical and revenue enhancement opportunities.

About MEDai

MEDai, Inc. is a leading health information company offering award-winning solutions for improvement of healthcare delivery. Utilizing cutting-edge technology, payers 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 on MEDai, visit www.medai.com. Its parent company, Elsevier (www.elsevier.com), is a world-leading publisher of scientific, technical and medical information products and services with more than 7,000 employees in over 70 offices across 24 countries.

CONTACT: Lizzy Feliciano, MBA, Manager, Marketing & Communications, of
MEDai, Inc., +1-800-446-3324

Web site: http://www.elsevier.com/
http://www.medai.com/

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