NorstellaLinQ
Real-World Data
The largest integrated data asset in the industry, combining EMR, lab, open and closed claims, social determinants of health, and mortality data from Norstella’s brands including Citeline, Evaluate, and MMIT. One dataset of 74 billion data points, making access to the data you need easier than ever.
What is NorstellaLinQ?
including EMR, lab, open and closed claims, social determinants of health, and mortality data.
linked, tokenized, and built to answer critical business questions.
providing end-to-end support to ensure you realize the full value of RWD.
enabling rapid analytics of real-world data.
Explore NorstellaLinQ Data
NorstellaLinQ combines 74B+ data points from:
EMR
50M+ US lives, 3B clinical notes
Lab
265M+ US lives with lab, biomarker, and genomic data
Social Determinants of Health
140M+ US lives with household level data
Open Claims
300M+ US lives from all channels
Closed Claims
245M+ US lives from commercial, Medicaid, and Medicare
Mortality
from 40K+ public and private sources
NorstellaLinQ in Action
Find out how NorstellaLinQ is already empowering teams like yours to go beyond what was possible.
Powering Unbiased Outcomes Research with Longitudinal Data
Ahead of a product launch, a medical device company faced a data bias issue that skewed their outcomes analysis. The problem? Relying on a single claims dataset. With support from Panalgo and NorstellaLinQ, they leveraged integrated real-world data and the IHD platform to get unbiased, actionable results—fast.
Expanding Cohort Identification by 1500% with Unstructured EMR Data
A manufacturer exploring a new rare disease treatment found unexpectedly low patient counts in their claims dataset. The culprit? Coding classification issues were limiting visibility into the true patient population. Find out how NorstellaLinQ helped expand the cohort and provide a rich longitudinal history for all patients.
Answering Questions Across the Healthcare Ecosystem
Empowering you to ask and answer any question and overcome any obstacle in RWE generation.
Clinical Operations
Optimize protocol design, site and investigator selection.
Clinical Trial Teams
Identify and recruit medically complex patients into treatment.
Pharma
Understand clinical decision-making sentiment and impact of patient adherence on clinical outcomes, reimbursement challenges, or denials by analyzing physician notes.
Epidemiology
Create evidence to rapidly respond to regulatory requests with trusted, transparent insights.
HEOR
Generate evidence for improved patient outcomes and cost benefit analysis from the largest patient-level dataset.
Market Access
Track time to treatment in areas of restrictive behavior and advocate for open access speeding time to therapy.
Commercial
Reach physicians treating specific conditions by hyper targeting patients with varying clinical criteria.