Socio-Demographic Insights: What’s Missing From Your Data

  • November 13, 2018
  • 2:00 PM – 3:00 PM ET
  • online

To design effective outreach programs, manage care, and contain costs, health insurance providers need specific, detailed member data statistics so they can gain an in-depth understanding of their members and their health concerns. But health risk assessment (HRA), claims and enrollment data is no longer enough—it doesn’t provide the consumer insights needed to pinpoint communications, marketing, and other outreach strategies. Understanding populations such as Medicare is especially difficult.

This session will showcase how health insurance providers can combine cutting-edge segmentation methodology with a rich set of health care-specific consumer lifestyles, attitudes, and behaviors to provide the knowledge they need to understand health status, disease prevalence, illness burden, and more. The speakers will share real-life examples from health insurance providers that are designing effective targeting and communication strategies, providing effective care management, and containing costs.

Attendees will learn 

  • How to combine key data sources to unlock key insights on social determinants of health: for individuals, specific populations like Medicare, and precise geographic areas
  • Specific examples of how health insurance providers are using socio-demographic data to attract and retain members (including new target populations), design effective plan offerings and messaging, close gaps in care, understand and lower risks, and increase cost effectiveness
  • Ways to identify the severity of health disparity and the link between community need, access to care, and preventable hospitalizations


 Brandi Hodor
Analytic Advisor
IBM Watson Health Analytics

As one of IBM Watson Health’s leading experts on Sociodemographics, Brandi Hodor drives strategic initiatives integrating sociodemographic data with health and productivity information targeted at quality improvement. She advises both private health plans and employers on implementing this data, and on issues relating to reimbursement system design, and the use of incentives to motivate desired provider and member performance. Her professional interests focus on how healthcare analytics can support strategic planning activities for health systems and programs, implementing predictive modeling projects, and design and detection of fraud, waste, and abuse in the healthcare market. She has spent much of her time designing reporting to fit health plan and employer business needs, with a focus on operating Medicaid and Medicare programs as effectively and efficiently as possible. Her background is in healthcare finance and budgeting, and she has created a number of analytic tools designed for payment reform. Ms. Hodor holds a B.S. in Applied Mathematics and Statistics from the Missouri University of Science and Technology.