LinQ Cohort
Get Unmatched, Self-Service Visibility into How Real Patients and Providers Move Through Care
- Linked, De-Duplicated Real-World Data: Search across tokenized EMR, claims, lab results, and unstructured clinical notes—all unified into a single, accurate patient view for comprehensive real-world insights.
- Transparent Cohort Logic for Accurate Patient Segmentation: Apply and adjust filters in real time to see how they impact patient counts, ensuring clarity without black-box methods or vendor-managed logic.
- No-Code Analytics Interface for Commercial Teams: Quickly answer patient and market access questions without relying on analysts, engineers, or technical support.
- Funnel Builder to Optimize Patient Targeting: Visualize how patients move through your defined criteria across datasets, identify drop-offs, and assess overlap to refine targeting strategies before launch.
Build Smarter Cohorts to Optimize Market Access
What Our Clients Are Saying
How We Can Help
We help you turn complex real-world data into actionable patient cohorts so you can focus on high-value populations for your brand. This empowers your team to act faster, refine your value narrative, and optimize your brand strategy from day one.
LinQ Cohort allows you to create actionable cohorts from linked real-world data.
LinQ Cohort leverages cohort segmentation so your team can develop effective outreach to patients and their treating providers.
LinQ Cohort uses comprehensive EMR, claims, lab, and clinical data to identify key patient populations for your brand.
Key Insights From MMIT
From Buzzword to Breakthrough: Six Success Stories on Using Machine Learning and Natural Language Processing to Drive Market Access
In this ebook, explore six real-world examples of how leading companies are using ML and NLP to find hidden patient populations and better support those who need treatment most.
NorstellaLinQ: Revealing Hidden Patient Populations to Optimize Targeting Strategies
In this use case, find out how MMIT, using NorstellaLinQ, helped one manufacturer improve disease-state education and guide more effective account-level targeting by isolating specific patient cohorts with structured and unstructured EMR data.
NorstellaLinQ: Gain Real-Time Insights on High-Risk Patient Populations with Real-World Data
In this use case, find out how MMIT, using NorstellaLinQ, used real-world data to help a manufacturer specializing in multiple myeloma therapies get a clearer picture of high-risk patients and the physicians treating them.
NorstellaLinQ: Empowering Early Disease Diagnosis with Real-World Data
In this case study, learn how MMIT, utilizing NorstellaLinQ, integrated unstructured EMR data with structured data to assist a global pharmaceutical company in identifying disease screening patterns and formulating effective commercialization strategies.
Solutions to Support Your Strategy
Enhance LinQ Cohort with related solutions that expand visibility into real world patient journeys, provider behavior, and clinical patterns using linked claims, EMR, labs, and unstructured data. This enables your team to turn integrated insights into confident, data driven action.