Eliminating The Barriers To Equitable Health
Health equity is at the heart of all we do. It’s our mission. And it’s a vision we share with our clients.
RTI Health Advance helps clients understand and address the root causes of health inequities. Using data analytics, qualitative and quantitative methods, and our proprietary artificial intelligence and machine learning platforms, our health equity consulting services identify the countless ways social, economic, and political systems expose populations to risks and vulnerabilities.
We translate this evidence into practical and effective solutions for health equity that ensure client interventions reach and benefit the most disadvantaged and vulnerable people.
We Help Clients
- Understand Population Social Needs
- Select Social Determinants Of Health (SDoH) Models
- Design & Implement New Programs, Approaches, & Interventions
- Evaluate Existing Programs, Models, & Interventions
- Leverage Local Social Inequity Scores Using RTI Rarity™ & Other Data Sources
- Validate, Scale, & Optimize Initiatives
- Implement Improvements To Achieve NCQA Accreditation
- Meet Industry Requirements
- Improve Outcomes In Clinical Specialty Areas Including Behavioral Health
Practical Solutions That Improve Care
Reaching Under-Resourced Populations
We collaborated with the CDC’s division of Diabetes Translation to learn how lifestyle changes and self-management education programs can better reach under-resourced populations—particularly African American, Latinx, Hispanic, and African immigrant communities.

Determining Patterns Of Initial & Repeat Mammography Screening
We’re working with the CDC’s Division of Cancer Prevention and Control to improve mammography screening rates among African American women using medical record abstraction and surveys to understand racial disparities, identify barriers, and reduce late-stage diagnoses.

Communicating Effectively About Health Disparities
As part of the National Institutes of Health All of Us Research Program, we’re addressing disparities in program activity completion rates among participants who have historically been underrepresented in biomedical research.
