Behavioral Science

Improving Health with Data Science

Through individual behaviors, socioeconomic status and environmental factors, 80% to 90% of modifiable contributors to health occur outside of direct medical care.

Sanford Research is working to improve the health of patients and communities by using data-driven techniques and community partnerships to better understand these social determinants of health and their intersection with health care delivery.

Our areas of expertise:

  • Health services research
  • Data science
  • Substance use and addiction
  • Mental health outcomes
  • Rural Health
  • Eating disorders, obesity and bariatric surgery
  • Domestic violence

With timely access to health care data from a comprehensive rural health system, data science and analytics help direct evidence-based population health.

Our research group supports:

  • NIH funded Health Outcomes and Population Health Center of Biomedical Research Excellence (CoBRE)
  • Data Collaborative
  • Center for Biobehavioral Research

Shared Resources

Research Design and Biostatistics Core

The Research Design and Biostatistics Core provides assistance with research projects including planning and designing research studies, collecting and managing data, analyzing data, and interpreting and presenting results. We work to expand research and evaluation infrastructure and capacity for Sanford Health and its partners.

Email us or submit a Core Service Request Form.

Behavioral Economics Core

The Behavioral Economics (BE) Core advises on behavioral economics, implementation sciences, and cost effectiveness analyses to translate research findings into clinical practice.

Data Collaborative

The Sanford Data Collaborative provides leading researchers with the opportunity to access real-life, timely health care data. We have partnerships with academic institutions across the region.

Evaluation Services

The Behavioral Science group provides evaluation services to help nonprofit government entities produce evidence-based, culturally appropriate practices.

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