Expanding the HCP target list for a new drug used to treat a rare disease in children

A pharmaceutical company struggled to identify healthcare providers who would treat patients with a rare pediatric disease, hampered by diagnostic coding gaps and diverse patient symptoms that made the disease market hard to define. Using Passport Planning and Performance, it analyzed dynamic, disparate physician, patient, and payor data on patients currently in treatment to identify similar patients and their treating physicians, then applied a prioritization algorithm weighing factors like physician interactions and treatment patterns. The result was a "3x increase in the target list of HCPs" identified as high-potential treating and referring physicians for the rare disease indication, expanding reach to both direct treaters and referring providers while surfacing predictive factors for identifying future patients.

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.