How government agencies use HealthVerity for public health and AI-powered research
NIH set strategic goals to democratize AI research access, recognizing many scientists lack software engineering expertise for complex analyses, emphasizing low-code/no-code AI platforms. HealthVerity partnered with Medeloop to build HealthVerity eXOs, an agentic AI platform combining HealthVerity's real-world data ecosystem with Medeloop's no-code analytics. eXOs "translates simple written queries into comprehensive research studies in minutes," letting researchers pose complex questions and get actionable insights without programming skills, directly supporting NIH's accessibility goal.
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 NIH section.
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