IQVIA supported a rare disease cardiology launch by triangulating data from five proprietary sources (Real World Data, MIDAS, BioNLP Explorer, PharmaSpectra, OneKey). Machine learning identified 1,600+ patient profiles and 300+ HCPs, segmenting them by treatment readiness and advocacy potential. Outcomes included defining target patients unresponsive to standard care, profiling high-interest physicians, and creating a hybrid engagement model that expanded account coverage by 61%. Insights also produced a scientific publication, reinforcing credibility with the medical community.

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