A machine learning approach to healthcare needs and barriers using the 100% Community Survey of access to SDOH services

ML models revealed complex, domain-specific patterns of need and access, highlighting the limitations of one-size-fits-all approaches. Community-based initiatives like 100% Community can leverage these insights to target structurally excluded populations and strengthen local support systems. Hyperlocal planning, state-level policy reform, and family-centered interventions are essential to addressing healthcare disparities in high-need settings.