Predicting patients with an ultra-rare disease for treatment launch planning

A pharmaceutical company launching a first-in-class treatment for an ultra-rare disease had no ICD-10 code to work from, making it "challenging to estimate the eligible patient universe, identify care sites and physicians to call on at launch." Definitive Healthcare deployed predictive analytics against claims data and clinical notes to identify patients at varying likelihood levels of having the condition. The analysis predicted approximately 4,400 patients as highly likely to have the disease, giving the company confidence to move forward with the treatment launch and identify target physicians for educational outreach.

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

Definitive Healthcare is a claims and provider-reference data platform used by pharma commercial teams for go-to-market planning and sales targeting.

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.