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From Clinical Encounter
to Actionable Trigger

Claims data can’t tell you why treatment changed, what the latest labs revealed, or whether a physician is considering switching. NorstellaLinQ Trigger Alerts surface high-value patients and their treating physicians within 2–12 days of a clinical event — so you act while it still matters.

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By the Numbers

Maximize Opportunities with Trigger Alerts

0 -12

Days from clinical event to actionable alert

0 x

More weekly triggers with clinical profile enrichment

Multiple myeloma case study, February 2025

0 +

New high-risk patients identified in a single oncology program

Top-10 pharma/ hematologic oncology case study

In Their Words

How It Works

Note to Alert in Days

Once your custom curated model is live…

Clinical Event

Day 00

New diagnosis, hospitalization, therapy change, or biomarker result. Physician dictates a note during the visit.

Vendor Refresh

Day 01

Nightly EHR vendor refresh picks up the note. Data enters the NorstellaLinQ pipeline via the Norstella Patient ID linkage.

Model Processing

Day 02

Custom LLM-based entity extraction deploys. Patient is de-identified. Clinical trigger algorithm surfaces relevant signals.

Alert Delivered

Day 03

NPI-matched, cohort-filtered trigger report is delivered to your field team dashboard.

Use Cases

NorstellaLinQ Can Answer the Questions Your Team Is Already Asking

First-Line Uptake: Catch eligible patients at diagnosis before a competitor. Alerts fire within days of a qualifying clinical note — not weeks after a claim.

Switch Opportunities: Identify therapy failure signals in clinical notes — lab deterioration, adverse event language, physician uncertainty — before a switch is coded.

Re-Engagement of Lapsed Prescribers: Surface prior prescribers whose patients have drifted. NPI-level reporting shows which physicians are active in your therapy area.

Rare Disease Patient Finding: Track rare clinical events without relying on ICD codes. Unstructured EHR notes surface misdiagnosed or under-coded patients that claims miss entirely.

Payer-Relevant Event Monitoring: Track treatment failure, hospitalization, and step therapy burden in near-real time to build the evidence base for payer negotiations.

Diagnostic Journey Triggers: Set alerts to fire at diagnostic delays and payer rejections — not just treatment initiation.

Access Barrier Documentation: Combine trigger alert data with LinQ Notes to understand access at the patient level — and take that evidence into payer negotiations.

Field Team Priority Routing: Route access managers to the right accounts at the right time based on real patient burden signals, not territory maps built on historical claims.

Cohort Validation: Validate study definitions against how conditions appear in clinical notes, not just how they’re coded. Reduces misclassification risk before a study launches.

Study Feasibility: Assess whether the clinical note data exists to support retrospective study design — in minutes, not weeks.

Disease Progression Signal Detection: Link EHR, lab, and claims across up to seven years of patient history to trace biomarker trajectories and disease staging.

MSL Engagement: Identify physicians actively managing complex patients based on note patterns — and give medical science liaisons a data-grounded reason to engage.

Get Started

Get Closer to the Patient—Earlier

Discover how Trigger Alerts powered by NorstellaLinQ help life sciences teams identify high-value patients sooner with clinically rich EHR insights. Learn how earlier signals can improve targeting, accelerate engagement, and drive more informed commercial decisions.

NorstellaLinQ

Follow the Patient, Not the Data Fragments

Biopharma’s real-world data foundation. Claims, EHR, lab, and electronic prescription data connected to one patient, with an average of seven years of longitudinal history. Decision-grade, AI-ready, and backed by the people who built it.

Frequently asked questions

Everything You Need to Know About NorstellaLinQ

What is NorstellaLinQ?

NorstellaLinQ is a fully integrated data platform that connects real-world data with clinical, regulatory, payer, and commercial intelligence to provide a comprehensive view of the patient journey.

What makes NorstellaLinQ different from other data platforms?

NorstellaLinQ combines structured and unstructured real-world data—such as EMR, claims, and lab data—with proprietary intelligence, creating one of the most complete and connected datasets in life sciences.

What types of data are included in NorstellaLinQ?

The platform integrates open and closed claims, lab results, structured and unstructured EMR data, and proprietary datasets across forecasting, clinical, regulatory, and market access intelligence.

How large is the NorstellaLinQ dataset?

NorstellaLinQ includes more than 74 billion linked data points, offering deep visibility into patient journeys, treatments, and outcomes.

Why is data integration important in life sciences?

Disconnected datasets can limit insights and slow decision-making. NorstellaLinQ solves this by linking data across sources to provide a unified, end-to-end view of patients and markets.

Norstella Brands

Real-world data: Closing the strategy gap