Member Identification

 

Stratify your membership:  Healthgram has developed a predictive modeling software program, which identifies and ranks members with chronic diseases based on the risk and severity of the disease.  We analyze medical claims, prescription drug history, health risk assessments, and lab data to build a report that ranks members by health risk, indicating their primary diseases, co-morbidities, and risk scores.

FIRST:  Our predictive modeling software processes medical claims data, prescription drug data, health risk assessment data, and lab test results. Demographic and lifestyle data is included to increase the accuracy of predictions.

 

 

NEXT:  A heuristic algorithm assigns risk factor scores to each piece of collected data, and these scores are used to generate a weighted score for each disease state.  The weighted scores are combined and adjusted based on age and lifestyle factors.

 

 

 

FINALLY:  Members are stratified by their combined and adjusted scores.  This stratification is detailed in the DM Identification Report, and the number of members requiring disease management is determined.  These members' names are electronically loaded into our database for intervention.