Accelerating early RWE exploration without increasing analytic burden

The page describes how lean health economics and outcomes research (HEOR) teams use HealthVerity eXOs to quickly address early-stage evidence questions. It states the platform delivers credible, actionable answers on treatment patterns, patient characteristics, and comorbidities in "less than an hour." It is positioned as supporting everything from rapid feasibility exploration to validating research direction and informing leadership decisions, without adding to analytical workload. No further quantitative outcomes beyond the under-an-hour figure are given.

The customer is anonymised in HealthVerity’s own case study — not withheld by us.

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.