ISPOR Europe 2026
8-11 November
Vienna, Austria
Booth #815
Meet the TriNetX Team at ISPOR Europe 2026
Access to real-world data has never been greater. But answering today’s most complex research questions often requires a deeper understanding of the patient story behind the data. As healthcare stakeholders seek more actionable evidence, richer clinical context can enable more precise cohorts and stronger evidence generation. At ISPOR EU, we’re bringing those conversations to the stage, the booth, the poster floor, and one-on-one discussions with our experts.
Podium Presentation
From Narrative to Evidence: How NLP-Extracted Clinical Facts Strengthen Real-World Research
Date: Tuesday, November 10
Time: 12:00PM – 12:30PM
Presented by Jeff Brown, PhD, Chief Scientific Officer, TriNetX, LLC
As demand grows for more robust real-world evidence (RWE) to support research, healthcare decision-making, and market access activities, important data gaps remain. While structured electronic health record (EHR) and claims data provide a valuable foundation for real-world research, many clinically meaningful patient characteristics, including disease severity, performance status, biomarker results, treatment response, and functional decline, are often documented only in narrative clinical notes. As a result, cohorts built from structured data alone may not fully represent the patient populations researchers seek to understand. This presentation will explore how clinical facts extracted from unstructured clinical notes can help address these limitations, provide a more complete view of the patient’s journey, and support a broader range of research questions. Attendees will gain insight into the types of clinically relevant information frequently missing from structured data alone and how advances in artificial intelligence (AI) and natural language processing (NLP) are enabling the scalable extraction of clinically relevant facts from narrative documentation. Through practical examples and real-world use cases, we will demonstrate how these enriched data assets can strengthen cohort identification, improve characterization of patient populations, and provide deeper visibility into treatment pathways, disease progression, care patterns, and outcomes. We will also discuss the implications for life sciences researchers, healthcare organizations, payers, and policymakers seeking more comprehensive evidence to support research and healthcare decision-making. Finally, the session will examine the future role of AI-enabled clinical data in advancing evidence generation and supporting data-driven healthcare decision-making.
Poster Sessions
Poster Session 5:
Wednesday, November 11th | 9:00 – 11:30 AM
Closing Gaps in Real-World Evidence: Unlocking Clinical Value from Unstructured EHR Notes
Discussion: 9:00 – 10:00 AM
Poster Code: RWD176
Presented by: Zuzana Dostalova
In-Booth Thought Leadership Series
Conference schedules are packed. That's why every episode of the RWD Insights Series is under 8 minutes, making it easy to fit meaningful learning between sessions and meetings.
Featuring Jeffrey Brown, PhD, TriNetX Chief Scientific Officer, the series tackles specific real-world data (RWD) challenges facing researchers and evidence teams today. Watch the episodes before the conference or join us at the booth for ongoing screenings throughout ISPOR EU.
🎬 How to Operationalize a High-Quality Study for Publication, Regulatory Submissions, and Grant Success – Run time: 8 mins
🎬 Privacy-Preserving Federated Analytics – Run time: 8 mins
🎬 Assessing Fitness-for-Purpose Across Data Sources – Run time: 7 mins
🎬 How to Get the Most Out of EHR Data – Run time: 8mins
🎬 One Condition, Many Definitions: How Context Shapes Every Variable – Run time: 6mins
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