Impact of Community-Based Care on Medicaid

About 40% of acute care visits by Medicaid patients are deemed avoidable, indicating a significant opportunity to prevent unnecessary hospitalizations within this population. A new approach to Medicaid care delivery combines advanced machine learning with community-focused interventions, reducing emergency room visits by nearly 25%. This model emphasizes meeting patients in their communities, rather than relying solely on traditional clinical settings, which has proven effective in enhancing care quality and patient access. By addressing social needs alongside medical care, the approach aims to significantly improve health outcomes for underserved populations while controlling costs.