Case Studies
Improved health risk modeling—improved member engagement results
Overview
Analytics & Modeling - Data Mining Analytics & Modeling - Predictive Analytics Analytics & Modeling - Real Time Analytics | |
Healthcare & Hospitals | |
Business Operation Quality Assurance | |
Predictive Maintenance Regulatory Compliance Monitoring Remote Patient Monitoring | |
Data Science Services System Integration Training | |
Operational Impact
The LexisNexis Socioeconomic Health Score combines hundreds of data attributes into key categories that have been tested and shown to correlate to health outcomes. Examples include personal finances, education, voter registration, law enforcement, and derogatory records. | |
Socioeconomic data takes predictive modeling to a new level, allowing more meaningful analysis of hospitalizations, emergency visits, pharmacy costs, medication adherence, and other aspects of a member’s interaction with the health care system. | |
LexisNexis maintains the industry’s most comprehensive and accurate collection of socioeconomic determinants of health branded as Socioeconomic Health Attributes, which is why EveryMove turned to them to support their research. | |
Quantitative Benefit
LexisNexis was provided with a file of 5,000 live member records reported by a major commercial payer. | |
The model generated a socioeconomic index and a socioeconomic rank for each member. | |
The score predicts risk exactly the way LexisNexis data scientists designed it to work. | |