Socioeconomic Health Attributes

Augment clinical analytics with hundreds of uniquely packaged and tested public records


Socioeconomic Health Attributes consist of more than 300 risk attributes. 

When combined, these attributes can better assess risk for patients without claims history.

Attributes have been combined into key categories that have been tested and confirmed to be directly correlated to specific health outcomes including: total cost, hospitalization, Rx cost, emergency room visits and stress index.


Benefits

  • Leverage attributes proven to increase the accuracy of existing clinical risk models 
  • Feed your clinical risk models for new members/patients where you don't have claims history to assess initial health risk 
  • Can be leveraged by in-house analytic teams independent of LexisNexis® solutions. 


Features

  • Data is sources from LexisNexis® non-FCRA public records data repository 
  • Delivery methods include flat file or XML files 
  • Various delivery frequencies available (weekly, monthly, quarterly, semi-annually, annually)
  • Attributes can be leveraged in new or existing clinical models to determine unknown risk & related costs
LexisNexis® Socioeconomic Health Attributes does not constitute a “consumer report” as that term is defined in the federal Fair Credit Reporting Act, 15 USC 1681 et seq.(FCRA). Accordingly, LexisNexis® Socioeconomic Health Attributes not be used in whole or in part as a factor in determining eligibility for credit, insurance, employment or another permissible purpose under the FCRA. Due to the nature of the origin of public record information, the public records and commercially available data sources used in reports may contain errors. Source data is sometimes reported or entered inaccurately, processed poorly or incorrectly, and is generally not free from defect. This product or service aggregates and reports data, as provided by the public records and commercially available data sources, and is not the source of the data, nor is it a comprehensive compilation of the data. Before relying on any data, it should be independently verified.