ZS and Takeda Oncology built an AI app using real-world data for next-best actions in about four months.
Takeda needed contextually relevant outreach as targeted therapies made physician engagement harder. ZS built an AI and ML application analysing individual HCP treatment patterns, predicting patient journeys and surfacing tailored messages. The page reports deployment in about four months, new insights every two weeks and interest from other brands.
ZS Associates is a consulting and technology firm for life sciences, used by pharma for commercial analytics, AI sales applications, KOL intelligence and fraud detection
This sits in the Ship stage of the AI use-case lifecycle: Named examples from the vendors pharma teams use to get an AI system live inside a real, regulated production workflow — validation, CRM, safety and clinical systems of record.
Published by ZS Associates on its own site — read the original case study on zs.com ↗
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