United States — national median (BRFSS)
Top drivers
⌁ mcp.call("adw-123") vADW-123-live-1.0 How big is the US healthcare-access gap?
United States — national median (BRFSS)
Top drivers
⌁ mcp.call("adw-123") vADW-123-live-1.0 A health-equity analytics agent embedded in a Medicaid managed-care platform queries ADW-123 — which composites BRFSS uninsured rates, cost-barrier-to-care prevalence, and no-usual-provider rates into a single 0-100 gap index — and, when the score in a target service area exceeds 55 (indicating a wide access gap), automatically generates a care-gap closure brief that routes to the network-development team with the IOM's top_drivers decomposition showing whether the gap is insurance-driven, cost-driven, or provider-supply-driven. The source_lineage to BRFSS survey data and the methodology_version give the health plan defensible documentation for CMS network-adequacy attestations.
A VP of Network Strategy at a health plan uses ADW-123 (current score: 40.5, indicating a moderate access gap nationally) to prioritize which geographic markets warrant accelerated provider recruitment investment, replacing a manual process of pulling and joining three separate BRFSS survey outputs across state health departments. A score trending upward toward 55+ in a target county signals that the plan's current network is increasingly inadequate relative to the population's barriers — a leading indicator that is far more actionable than lagging claims-based provider-utilization reports.
composite z-score 0-100
Version ADW-123-live-1.0 · validated to beat a naive baseline · benchmark: n/a