Quantifying the impact of SDOH

Because quantifying exactly how social determinants of health (SDOH) affect Type 2 diabetes treatment remained an underexplored area, Symphony Health partnered with HealthWise Data to study how SDOH factors combined with medical/pharmacy claims features affect treatment persistence. They linked Symphony Health's Integrated Dataverse (IDV®) with HealthWise360 Universe data via Synoma® tokenization and applied XGBoost and logistic regression models to identify features predicting whether patients stayed on treatment three months after starting. The analysis found that factors like food insecurity, healthy lifestyle access, and use of preventive services directly affected whether patients stayed on treatment, and that patients with higher disease burden and comorbidities had distinct profiles — showing which factors can be addressed through intervention and which cannot.

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.