AI + Real-World Data: What the Next Five Years Look Like for Pharma

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In the final episode of Real-World Data After Dark season 2, host Daniel Chancellor is joined by Norstella’s Kris Kaneta, Chief Product & Innovation Officer, and Ted Search, Chief Real-World Data & Analytics Officer, to explore what’s next for real-world data, artificial intelligence, and healthcare analytics. Looking beyond today’s AI capabilities, the conversation examines how […]

Stop Flying Blind. Start Targeting with Greater Precision.

NorstellaLinQ explores how integrated real-world data and AI-powered analytics help pharmaceutical commercial teams identify high-value patients, understand prescriber behavior and uncover emerging market opportunities. By connecting claims, structured and unstructured EHR data, laboratory results, social determinants of health (SDOH) and mortality data into a single clinically validated asset, NorstellaLinQ delivers the insights needed to improve […]

Unstructured EHR Data Unmatched Clinical Insights

Norstella transforms unstructured physician notes into longitudinal, analytics-ready data that reveals insights traditional healthcare datasets miss. By combining AI, data curation, and clinical expertise, Norstella helps pharmaceutical teams better understand patient journeys, identify hard-to-find patient populations, optimize HCP engagement and make smarter commercial decisions. Powered by NorstellaLinQ, these insights connect real-time EHR data, claims, lab […]

Find the Right Patient Before the Competition Does

Traditional commercial targeting relies on historical claims and broad provider segments. NorstellaLinQ changes the equation by combining AI-curated clinical data, real-world patient journeys, predictive analytics, and near real-time clinical signals to identify more patients, engage providers earlier, predict what’s next, and coordinate commercial teams around the highest-value opportunities. In this infographic, find out how NorstellaLinQ can help […]

Finding the Right Patients Faster: AI and Real-World Data in Practice

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Artificial intelligence is reshaping how life sciences organizations generate evidence, identify patients and make critical decisions—but only when it’s built on trusted, explainable data. In this episode of Real-World Data After Dark, Daniel Chancellor is joined by Norstella’s Kris Kaneta and Ted Search to discuss where AI can create the greatest impact across the pharmaceutical […]

Busting Real-World Data and AI Myths

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Artificial intelligence is transforming how life sciences organizations unlock the full value of real-world data—but success depends on more than AI alone. In this episode of Real-World Data After Dark, Daniel Chancellor is joined by Kris Kaneta, Chief Product & Innovation Officer at Norstella, and Ted Search, Chief Real-World Data & Analytics Officer at Norstella, […]

The Hidden Obesity Population: Why Diagnosis Codes Fail Pharma, Payers, and Patients

More than 60% of clinically obese patients cannot be identified using diagnosis codes alone. For manufacturers, payers, and providers, that means prior authorizations fail, commercial opportunity is underestimated, and real-world evidence built on ICD-10 codes alone systematically miss eligible patients. Anti-obesity medications are the most consequential pharmacological development in obesity treatment in a generation. Semaglutide […]

From Data Access to Evidence Usability: Connecting Payer Policy, Real-World Data, and Clinical Context to Close the Evidence Gap

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Real-world data has never been more abundant, but data alone doesn’t tell the full patient story. In this episode of tHEORetically Speaking, Becky Hollenberg, Senior Real-World Data Strategy Lead at Norstella, explores why connecting claims, electronic medical records (EMRs), clinical notes, laboratory data, and payer policy information is essential to generating meaningful real-world evidence. The conversation […]

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Real-world data: Closing the strategy gap