State Medicaid expansion after the PPACA led to
over a 40% increase in the number of beneficiaries. This population of 75
million people on Medicaid are low-income, frequently live in inner cities, and
face challenges in healthcare accessibility. Few health-tech solutions address
this urban demographic and there remains a gap in delivering affordable,
culturally competent health built on empowering the existing resources of local
communities.
Instead of creating novel technologies, the
Healthy Neighborhood Model aims to screen, serve, and connect high-risk
Medicaid patients to local community medical and non-medical resources to
address social determinants of health through community health workers (CHWs).
Through screening integration embedded in care delivery by concierge-based
CHWs, the Healthy Neighborhood Model proposes data-driven referral resources in
the local community while training ML models to inform community-specific
provider interventions.
The global vision drives toward health equity
for millions of low-income families by addressing their fundamental social
determinants.
