Trusted by the NSF: How HealthVerity set the standard for secure data linkage

Two federal agencies, NCSES and NCHS, needed to demonstrate secure linkage of sensitive government datasets (the Survey of Earned Doctorates and National Health Interview Survey) without exchanging personally identifiable information. HealthVerity supplied privacy-preserving record linkage via its Identity Manager under NSF's America's DataHub Consortium, using a FedRAMP Moderate-certified environment, while Mathematica handled analysis; the two agencies had never shared data before. The linkage matched roughly 93% of individuals overall (94.9% for NHIS, 91.8% for SED), and all project data were isolated and destroyed within 30 days with a formal Certificate of Destruction; the framework is being considered as a template for the National Secure Data Service.

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.