How government agencies use HealthVerity for public health and AI-powered research
ARPA-H needed to identify at-risk geographic areas for severe obstetric complications and heart disease among underserved populations so it could fund targeted local interventions. HealthVerity worked with ARPA-H and MITRE to build a regional analytics platform delivering monthly real-world data reports at the ZIP3 level, tracking complication and heart-disease risk by geography and payer type. Local public health agencies use this data to apply for performance-based grants, with the platform evolved to monitor program performance over time — an "outcome-driven model" where continued funding depends on agencies meeting benchmarks.
HealthVerity is a real-world-data marketplace aggregating claims, EHR and lab data from 75+ sources via a proprietary patient-matching layer.
This sits in the Data Providers stage of the AI use-case lifecycle: Named examples from the real-world-data, claims and competitive-intelligence providers pharma AI systems are trained on, benchmarked against, or run inside of.
Published by HealthVerity on its own site — read the original case study on blog.healthverity.com ↗
Note: Source page covers ARPA-H, FDA, and NIH together in one article; this entry reflects only the ARPA-H section.
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