Health information provider MEDai, Inc., US, part of STM publisher Elsevier, has announced that several of its clients will be presenting the benefits and successes they have realised from utilising MEDai's suite of predictive analytic solutions. The presentations will take place during World Research Group's 6th Annual New Innovations & Applications in Predictive Modeling Conference in Las Vegas, March 25-26, 2009. These presentations are expected to provide insight on how payors can maximise and improve resource allocation, improve the impact of care management efforts, and more effectively engage members and physicians in the healthcare delivery process.
MEDai's suite of predictive analytic solutions is designed to meet the needs of multiple constituents. Novant Health, a client, will share how MEDai's predictive solutions can be applied in the outpatient care environment. These solutions allow physicians to access health plan data in real-time for support in evaluating and managing high-risk patients within their practices and in acute care settings. Another client, Sentara Healthcare, will share how it has successfully identified its employer clients' pain points and provided specific reporting and analysis to improve the overall health plan-employer communication process. Finally, during a three-hour workshop, several other clients will team together to discuss demonstrable return-on-investment realised through the use of this technology, and innovative concepts to help employers and health plans gain control over rising health plan benefit costs.
MEDai offers solutions for the improvement of healthcare delivery. Its solutions include severity adjustment (determining the severity of a disease and its effect on the patient's outcome through the analysis of relevant data), benchmarking and evidence-based care processes. Payors and care management organisations use MEDai to predict patients at risk, identify cost drivers for high-risk populations, forecast future health plan costs, evaluate patient patterns over time and improve outcomes.
