How One Pharma Connected Specialty Drug Data for Better Physician Targeting
A major pharmaceutical company launched a treatment for a rare condition but saw disappointing sales two years after launch, largely because, as the page states, "disease symptoms are heterogenous and patients can go years before being diagnosed correctly," making eligible patients hard to identify. Datavant helped by connecting the company's specialty drug data with real-world data to better target physicians who treat patients with the condition. The page does not provide specific numerical outcomes from this engagement.
Datavant is the tokenization and linkage infrastructure behind most of the US real-world-data ecosystem — it de-identifies and connects patient records across health-data partners without exposing PII.
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.
Published by Datavant on its own site — read the original case study on datavant.com ↗
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