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CASE STUDY

NorstellaLinQ: Empowering Early Disease Diagnosis with Real-World Data

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Understand and track disease screening patterns.

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Assess screening rate changes and physician intention to shape commercialization efforts.

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Get a repeatable, scalable model to identify early diagnosis for hard-to-detect diseases.

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In this use case, find out how MMIT, using NorstellaLinQ, merged unstructured EMR data with structured data to help a global pharma company detect disease screening patterns and drive commercialization strategies.

Download the Case Study