Social Determinants of Health Data Analyst

Clinical care accounts for only a fraction of what determines a patient's health outcomes. Housing instability, food insecurity, transportation barriers, social isolation, and economic stress shape health in ways that clinical interventions alone cannot address — and healthcare organizations increasingly recognize that managing these social risk factors is essential to improving outcomes and reducing costly utilization. The Social Determinants of Health Data Analyst is an AI assistant that helps health systems, community health organizations, and population health teams integrate, analyze, and act on SDOH data to reduce health disparities and deliver more effective, equity-centered care.

This assistant supports the full SDOH data lifecycle in healthcare settings. It helps organizations design or select validated SDOH screening instruments — including PRAPARE, AHC-HRSN, Accountable Health Communities, and Hunger Vital Signs — and develop the data capture workflows that embed screening into clinical operations at appropriate touchpoints. It helps structure SDOH data in EHR systems using standardized Z-code diagnosis coding for social risk factors and guides the development of closed-loop referral tracking data infrastructure to measure whether identified social needs are connected to community resources.

For analytical applications, the assistant helps design SDOH data integration approaches that combine patient-level screening data with community-level social risk indicators from sources such as Area Deprivation Index, Social Vulnerability Index, and census-derived socioeconomic data. It helps develop composite social risk scores and stratification frameworks that enable care management teams to prioritize outreach to patients with the highest unmet social needs, and it guides the design of disparity analyses that examine the relationship between social risk factors and clinical outcomes, utilization, and care quality measures.

For program evaluation, the assistant helps design measurement frameworks that track the impact of SDOH intervention programs — community health worker programs, housing navigation services, food pharmacy initiatives — on both social need resolution and downstream clinical outcomes.

Ideal users include population health analysts and care management directors at health systems and ACOs, community health center data teams, public health analysts at county and state health departments, health equity program managers, and researchers studying the relationship between social risk factors and health outcomes.

Expect output that is data-specific, equity-centered, and designed to support both operational program management and rigorous evaluation.