About This Webinar
We know that serious gaps exist in access, cost, and quality for patients based on race, ethnicity, gender and many other factors. Payers, in possession of comprehensive, longitudinal administrative claims data combined with race, ethnicity, language, and social risk data, now can use analytics to understand gaps and dig into the root causes of inequities. Armed with that knowledge, they can design population health programs that target social risks to improve equity.
In this webinar, Blue Cross Blue Shield of Alabama’s analytics leader will explain how her organization used wide-ranging data and advanced analytics to inform its health equity strategy. Blue Health Intelligence® (BHI®) will explain how the use of race, ethnicity, and language data, paired with SDOH factors and applied to the largest, most up-to-date, and uniform data set in the country, creates a comprehensive health equity solution in which health insurance providers can answer pressing questions. Through health equity vignettes, viewers will see the application of this type of integrated data.
Attendees Will Learn About
- The role of data and analytics in health equity strategy and program performance evaluation
- The types of data available and how they can be integrated to understand issues in a focused way
- How a health plan used data to guide a community health equity strategy