Community Health Analytics for Highly Vulnerable Populations
Eliot Arnold Eliot Arnold

Community Health Analytics for Highly Vulnerable Populations

Connective.Care Community Health Intelligence integrates 10 federal data sources to analyze population health risks across 24,000+ HUD Section 202 and USDA rural senior housing properties nationwide. Our platform synthesizes CDC BRFSS chronic disease prevalence (diabetes, COPD, heart disease, cognitive decline), NEMSIS EMS incident rates (falls, cardiac, respiratory, behavioral), Census ACS demographics, Social Vulnerability Index (SVI), and real-time OpenStreetMap service access data to calculate Health Intervention Priority Scores for 1.2 million housing units serving elderly residents (62+) across 9 Census divisions. Designed for healthcare payers, managed care organizations, and value-based care providers seeking to identify communities where compounding social determinants of health—including building condition (HUD REAC), food access, broadband connectivity, and geographic isolation—create opportunities for targeted intervention programs.

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