Rare Doesn’t Mean Unreachable
Finding Rare Disease Patients with Real-World Data
Rare disease patients often endure years-long journeys to diagnosis—delays that can hinder treatment and outcomes. But with NorstellaLinQ—pharma’s first fully integrated real-world data asset— life sciences companies are uncovering hidden patient populations, accelerating time to diagnosis, and improving targeting strategies across commercial, payer, and physician channels.
Explore our collection of real-world use cases and expert insights demonstrating how NorstellaLinQ helps close the gaps traditional data sources miss. From screening patterns to commercialization and physician targeting, discover how integrated structured and unstructured data can bring clarity to rare disease treatment and bring you closer to the patient than ever before.
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USE CASE
NorstellaLinQ: Uncovering New Rare Disease Patients Using Structured and Unstructured Real-World Data
Find out how MMIT, powered by NorstellaLinQ, helped a pharma company build commercial, payer, and physician targeting strategies in preparation for its first drug launch with a unified real-world dataset and comprehensive insights on a potential addressable rare disease population.
ARTICLE
How Integrated RWD Helps Improve Outcomes for Rare Disease Patients
For rare disease, the journey from symptom onset to diagnosis and treatment can take years—sometimes even decades. Here’s how integrating real-world data shortens time to treatment, improves market engagement and ultimately enhances patient outcomes for rare diseases.
INFOGRAPHIC
NorstellaLinQ: Illuminating the Rare Disease Journey
In rare disease, traditional real-world data sources often fall short, leaving teams across research, medical, and commercial functions with blind spots. But with NorstellaLinQ, rare disease doesn’t mean unreachable.
USE CASE
NorstellaLinQ: Refining Rare Disease Targeting with Real-World Data
A mid-sized pharma company needed to identify patients for a rare disease and complex indication. Learn how MMIT, using NorstellaLinQ, identified a narrower patient population and improved the client’s physician targeting and marketing efforts.
WEBINAR
Meet the Expert: Uncovering New Rare Disease Patients Using Structured and Unstructured Real-World Data
In this webinar, our experts explain how MMIT, with NorstellaLinQ, helped solve this challenge by integrating U.S. open claims, closed claims, labs, and unstructured EMR clinical notes.
USE CASE
NorstellaLinQ: Empowering Early Diagnosis with Real-World Data
Learn how MMIT merged unstructured EMR data with structured data to help a global pharma company detect rare disease screening patterns and drive commercialization strategies.