LinQ Cohort
Explore and define cohorts using structured and unstructured data — faster, without analyst bottlenecks – to support evidence generation, publications, and regulatory alignment.
What is LinQ Cohort?
LinQ Cohort brings the “who” and “where” to the healthcare journey. By linking open and closed claims, EMR, labs, SDOH, mortality, and clinical notes, it gives you unmatched, self-service visibility into how patients interact with the healthcare system and how providers deliver care.
Unlike other tools that require multiple contracts, manual data stitching, or costly analyst support, LinQ Cohort removes the friction. Every source is already integrated into a single, ready-to-use solution.
What if you could quickly create cohorts without coding or analyst support?
How It Works
Leverage 74B+ Data Points
Built on NorstellaLinQ’s 74B+ fully linked and tokenized data points including open and closed claims, labs, EMR, SDOH, mortality, and unstructured clinical note extracts.
Start with Expert Templates
Pre-built, expert-designed templates do the heavy lifting in mapping ICDs, NDCs, labs, procedures, and clinical note patterns to real-world journeys.
Refine with Flexible Filters
Drag-and-drop filters let you define precise, cross-source cohorts in minutes, no coding required.
Validate and Preview
Assess cohort growth and volume across sources and understand how patients move through your defined criteria before you buy.
Export and Deliver
Once approved, cohorts are ready for delivery in as little as two weeks, exported seamlessly into Panalgo IHD, the cloud, or local systems.
Ready to build your first cohort?
How LinQ Cohort Empowers You:
Real-World Evidence, HEOR, & Epi
Identify real-world populations for outcomes research, evidence generation, safety studies, regulatory submissions, and publications.
Rare Disease Discovery
Uncover patients with rare or misdiagnosed conditions by combining EMR, labs, and unstructured notes — filling the gaps left by ICD-10 codes.
Patient Journey Mapping
Reveal where patients drop off between diagnosis, testing, and treatment with visual funnels that highlight access barriers and delays in care.
Feasibility Validation
Assess population size and distribution across multiple data sources instantly, before investing in a full study or purchasing a dataset.