Risk Stratification for Disease Intervention and Management
Transform lives. Transform your business.
Identify and act on individual insights that impact member health.
Infogix advanced analytics help you see each member as an individual – now and two years from now. With present and future health status, cost, and receptivity to engagement in clear view, you can target intervention where it will matter most.
Which members adhere to their medical instructions? For whom does adherence make a difference?
Which members will be diagnosed with a new significant disease within the next two years? Who can we help? What is the best outreach method for each member?
You CAN target members for disease management interventions BEFORE they’re diagnosed and WITHOUT clinical staff reviewing medical records. Using your data and combining it with external data, sophisticated profiles of individual customers can be built based on past and present behavior. Using Infogix Advanced Analytics, future member behavior can be effectively predicted. And the targeting process is easily operationalized and automated to occur on a schedule you define – with communications and interventions customized for each member.
Actionable Insights into Member Health
Infogix provides actionable insights that drive decision making. This allows our clients to target their resources for the highest impact on member health – and on the business. Infogix advanced analytics incorporates far more data than most approaches, and analyzes it with techniques that have proven superior predictive accuracy. Infogix advanced analytics provides a way for organizations to sustain their competitive advantage, and also acts as a catalyst to provide insights that are not visible with traditional data mining.
Infogix provides advanced analytics that addresses each customer individually, for true segment-of-one marketing and risk assessment. Using the Infogix enterprise data analysis platform, propensity scoring provides a rank-ordered list of the members most likely to benefit from a health intervention. All of this is created using information already available in your automated data flow, and supplemented with any additional available data.