Symphony Health: Driving better outcomes with innovative interventions

A pharmaceutical company wanted to know whether a wellness app for glucose monitoring, meal tracking, and nutrition coaching could lower A1c levels for Type 2 diabetes patients, and whether it could reduce healthcare costs enough to support payer adoption. Symphony Health used its Synoma® integration to link lab results, claims, and app usage data longitudinally, built a closed dataset with defined cohorts and strict inclusion/exclusion criteria, and applied propensity score matching between app users and non-users. The study found a statistically significant reduction in A1c levels among app users versus standard care alone, provided insight into the app's economic benefits, and built a foundation for future Health Economics and Outcomes Research (HEOR) studies to support payer-backed adoption.

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

Symphony Health is a commercial claims and prescriber-data provider, recently divested from ICON plc to HealthVerity, supplying open/closed claims data for pharma commercial insight.

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.