Orlando, Fla. — April 12
MEDai Inc., a provider of advanced solutions for health care that use award-winning predictive modeling technology will present a case study focused on the success of a leading health plan using its predictive modeling solution Risk Navigator Clinical.
The presentation will be given at the upcoming Predictive Modeling Applications conference, sponsored by the Society of Actuaries (SOA) and Disease Management Association of America (DMAA) on April 19 to 20 in Orlando, Fla.
“Predictive Modeling: Turning Good Intentions into Measurable Results” will take the audience through a case study detailing how a leading health plan was able to implement MEDai’s predictive modeling solution and influence its care and disease management efforts.
Using Risk Navigator Clinical, the health plan was able to realize positive results from both quality and financial perspectives.
For more than a decade, MEDai’s predictive modeling application, Risk Navigator Clinical, has accurately forecasted 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 nonlinear models to correctly fit the characteristics of the client’s population.
The accuracy of MEDai’s predictive accuracy is evidenced by its performance in prestigious international competitions such as the Association for Computing Machinery’s Knowledge Discovery and Data Mining (ACM KDD) Cup and the German Classification Society competition, also known as GFKL.
As part of its predictive modeling suite, MEDai also offers solutions that engage physicians and assist in improving underwriting accuracy and increasing group retention.
