Events

Whether attending a conference around the world or participating in our informative webinars, you’ll embark on a transformative journey into the TriNetX ecosystem. Discover how our end-to-end drug development solutions and real-world data technology drive groundbreaking research and better patient care. Gain valuable insights from industry thought leaders, connect with passionate professionals and explore the latest advancements in healthcare and life sciences. Don’t miss the chance to shape the future of clinical research with TriNetX. Book a meeting at an upcoming conference or register for a webinar today and be part of our global community dedicated to enhancing healthcare, advancing research, and pioneering innovation.

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Upcoming Conferences

ISPOR US 2026

May 17 – 20 | Philadelphia, PA
Booth #817

Real-world data has never been more accessible. But access doesn’t generate insight — and more data doesn’t always mean better answers. Credible, decision-ready evidence demands the right data, design, and methodology, aligned to the question you’re trying to answer. At ISPOR 2026, we’re bringing that expertise to the stage, the booth, and the screen.

Presenting Unmatched Scientific Rigor in RWD/RWE

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Podium Presentation: Tuesday, May 19, 12:45 PM
Data Alone Can’t Answer Your Question: How to Extract Meaningful Insights That Drive Impact

Presenter: Jeff Brown, PhD, Chief Scientific Officer, TriNetX, LLC
Tuesday, May 19 | 12:45 – 1:15 pm ​ | Exhibit Hall Theater

Real-world data (RWD) is increasingly used in healthcare research, but only when it’s extracted and analyzed with appropriate methodological rigor. Too often, organizations assume that data alone will generate insight.  However, data alone cannot generate meaningful insights without appropriate study designs and analytical approaches. Without the right expertise, study design, and methodology, even large or complex datasets can lead to a misinterpretation of findings.

This session features a discussion on how human expertise applied to RWD informs the intentional and methodical decision-making required to generate meaningful and reliable insights. Drawing on experience in applying RWD within healthcare research and regulatory contexts, Dr. Brown will discuss a practical framework for aligning the research question, the data source, and the analytical method. When these elements are matched to their intended use, RWD can support credible evidence generation and healthcare decision-making.

Building on this framework, the session will highlight the opportunities, challenges, and key considerations involved in determining whether a dataset is truly fit for purpose in the context of the research question and intended use, along with common pitfalls that can undermine the trustworthiness of study findings. Attendees will gain practical considerations for selecting data sources more strategically and designing studies that are both credible and relevant for decision-making, supporting more reliable and appropriate use of RWD.

Poster Sessions: Monday, May 18th
Validation of the heparin-induced thrombocytopenia diagnosis code using a large-scale electronic health record database (EPH39)

Poster Session: Monday, May 18th; 10:30 am – 1:30 pm 
Discussion: 12:30pm – 1:30 pm  
Presented by: Amanda Moore
Value Proposition: This study uses diagnostically complex condition to highlight the importance of using laboratory-confirmed diagnosis codes in pharmacoepidemiology studies, particularly for conditions with low prevalence, as the predictive value of diagnosis code itself did not reliably predict HIT 

Validation of diagnoses codes for identifying patients with hepatitis C virus in EHR in a US, real-world population (RWD7)

Poster Session: Monday, May 18th; 10:30 am – 1:30 pm 
Discussion: 12:30 pm – 1:30 pm
Presented by: Ellen Stein
Value Proposition: Within the TriNetX Linked EHR + Closed Claims  network, using diagnosis codes to identify HCV as compared with the gold  standard of lab-confirmed HCV was moderately sensitive, highly specific, and had  a low PPV. Low PPV likely reflects low prevalence in the overall population, which  was crudely calculated as 0.4% of eligible patients. This aligns with other  published literature, though PPV is lower than among other cohorts, such as cirrhotic patients.   

Social Determinants of Health and GLP-1 Prescribing Patterns in T2D and Obesity: Real-World Evidence from a Large, National U.S Linked EHR-Claims Networks (HSD30)

Poster Session: Monday, May 18th; 4:00 pm – 7:00 pm
Discussion: 6:00 pm – 7:00 pm
Presented by: Julia O’Rourke
Value Proposition: Patient demographic and social characteristics influence GLP-1 medication prescription. Analyzing data using LR and BN provides complementary information. 

A novel approach for generating robust population estimates for use in HTA and regulatory submissions: demonstration in CLL in Germany (RWD55)

Poster Session: Monday, May 18th, 4:00pm – 7:00pm
Discussion: 6:00pm – 7:00pm
Presented by: Zuzana Dostalova
Value Proposition: This healthcare structure-based methodology provides robust, reproducible epidemiological estimates suitable for HTA and regulatory submissions. Systematic characterization and proportional sampling ensure representativeness, and multi-source validation supports accuracy. This method is scalable across oncology indications and geographies, offering a standardized framework for fit-for-purpose real-world evidence generation.

Poster Sessions: Tuesday, May 19th
Validation of ICD-based obesity categories using body mass index (BMI) values in an integrated electronic medical record (EMR) and claims database (EPH146)

Poster Session: Tuesday, May 19th 4:00 pm – 7:00 pm  
Presented by: Thomas Peer 
Value Proposition: Obesity-related ICD codes are consistent with recorded BMI vital measurements in categorizing patients from the TriNetX EMR-claims databases. 

Poster Sessions: Wednesday, May 20th
Real-world outcomes of second-line therapies in relapsed/refractory DLBCL patients in Germany: impact of front-line treatment-free period (CO180)

Poster Session: Wednesday, May 20th, 9:00am – 11:30am
Discussion: 9:00 am – 10:00am
Presented by: Zuzana Dostalova
Value Proposition: Our results highlight the unmet need in r/r/ DLBCL patients, showing that those with early relapse after 1L are sicker at baseline and have worse overall survival than late relapse patients. These findings support their inclusion in clinical trials for novel treatments.

Impact of COVID-19 Pandemic on healthcare utilization in the US as observed in federated electronic health records: 2016 to 2022 (EE441)

Poster Session: Wednesday, May 20th, 9:00 am – 11:30 am
Presented by: Gina Giase
Value Proposition: In this study of number of procedures surrounding the COVID-19 pandemic era, we observed a significant decrease in overall procedures from January 2020 through December 2021 versus predicted amounts. Further research is needed to determine the impact of delayed healthcare utilization on patient health outcomes.

The Premiere of RWD Insights Series at ISPOR

Sharp takes on your toughest RWD challenges in bite-sized deep dives. Jeff Brown, PhD, TriNetX Chief Scientific Officer, debuts a new video series exclusively at ISPOR 2026. Catch it daily at the TriNetX booth #817.

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  1. Add a new Accordion item at the very top of your list.
  2. Leave its Title and Content blank.
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  4. Enter: display: none;
  5. Divi will “open” this invisible first item by default, leaving all your visible items closed.
Assessing Fitness-for-Purpose Across Data Sources

Daily Showtimes: 10:00am, 11:00am, 12:00pm, 1:00pm, 2:00pm, 3:00pm, 4:00pm, 5:00pm

Run Time: 8 minutes

Big data isn’t always the right data. Learn how to assess whether a dataset is truly fit for your research question, because data fitness is about the right elements for the right cohort, not dataset size or reputation.

How to Get the Most Out of EHR Data

Daily Showtimes: 10:20am, 11:20am, 12:20pm, 1:20pm, 2:20pm, 3:20pm, 4:20pm, 5:20pm

Run Time: 8 minutes

EHR data is one of the richest sources for real-world research, but it was never actually designed for it. This video covers the opportunities, the pitfalls, and the mindset needed to get the most out of it.

One Condition, Many Definitions: How Context Shapes Every Variable

Daily Showtimes: 10:40am, 11:40am, 12:40pm, 1:40pm, 2:40pm, 3:40pm, 4:40pm, 5:40pm

Run Time: 8 minutes

Misaligned definitions don’t just complicate analysis; they produce misleading results. Learn why harmonized definitions are essential for multi-site RWD studies and what it takes to make them stand up to scientific and regulatory scrutiny.

On-Demand Webinar Video Library

Closing the gaps in multiple myeloma with Data and AI. Three speakers listed (Michael Sankey, Databricks; Jeffrey Graham, TriNetX; Luis Arthur Pelloso, MD, PhD, PPD) November 14, 2023 at 11:30 am ET

Smarter Trial Decisions Through Clinical Data Integration

Clinical trials often struggle with fragmented data sources, creating inefficiencies and delays. See how TriNetX clinical data integration unifies disparate systems to deliver actionable insights. Discover real-world strategies for improving collaboration, accelerating trial timelines, and driving smarter decisions through connected, interoperable data ecosystems — showing how integrated data platforms enable smarter, more timely decisions and ultimately improve trial success rates.

Closing the gaps in multiple myeloma with Data and AI. Three speakers listed (Michael Sankey, Databricks; Jeffrey Graham, TriNetX; Luis Arthur Pelloso, MD, PhD, PPD) November 14, 2023 at 11:30 am ET

Inside the Trends: A TriNetX Video Series

Clinical research is evolving faster than ever. Inside the Trends is our on-demand video podcast series featuring leading voices from across life sciences, sharing perspectives on real-world data, trial design, diversity, AI, and more.

Each episode delivers actionable insights to help you design smarter, more inclusive, and more efficient clinical research.

Closing the gaps in multiple myeloma with Data and AI. Three speakers listed (Michael Sankey, Databricks; Jeffrey Graham, TriNetX; Luis Arthur Pelloso, MD, PhD, PPD) November 14, 2023 at 11:30 am ET

Turn Real-World Data Complexity Into Clarity With AI

In this webinar, experts from TriNetX will explore what this approach involves and how it creates a more universal language for RWD. You’ll learn:

  • What plain-language querying is and how it works
  • How AI is helping make RWD more accessible and interpretable
  • Potential use cases for clinical trials
Closing the gaps in multiple myeloma with Data and AI. Three speakers listed (Michael Sankey, Databricks; Jeffrey Graham, TriNetX; Luis Arthur Pelloso, MD, PhD, PPD) November 14, 2023 at 11:30 am ET

How Research-Ready Data Transforms Clinical Development

Breakthroughs in clinical research start with one essential element: trusted data. In this webinar, you’ll explore how data integrity, accessibility, and readiness drive success in clinical trials and drug development.

Learn how clean, research-ready data is curated and expanded across regions and domains, the hidden challenges of data curation, and how solving them upfront empowers researchers to focus on discovery—not data cleaning.

Closing the gaps in multiple myeloma with Data and AI. Three speakers listed (Michael Sankey, Databricks; Jeffrey Graham, TriNetX; Luis Arthur Pelloso, MD, PhD, PPD) November 14, 2023 at 11:30 am ET

Overcoming Challenges in Clinical Trial Completion

Watch our webinar focusing on the bridging the “final mile” of clinical trials. We will delve into the complexities of this phase, highlighting the common obstacles and presenting effective strategies to overcome them. You will gain a deeper understanding of the last mile in clinical trials and learn how to implement effective solutions to bridge the gap between researchers, sites and participants. This knowledge will empower attendees to conduct more efficient, compliant and participant-friendly trials, ultimately contributing to the advancement of medical research.

Closing the gaps in multiple myeloma with Data and AI. Three speakers listed (Michael Sankey, Databricks; Jeffrey Graham, TriNetX; Luis Arthur Pelloso, MD, PhD, PPD) November 14, 2023 at 11:30 am ET

RWD to the Rescue: Solving R&D Challenges for Pharma Companies

The expert speakers will explore the integration of artificial intelligence (AI) and advanced disease modeling techniques to identify and support underdiagnosed patient populations. The attendees will walk away with a better understanding of the critical role of RWD in developing comprehensive evidence plans, including safety assessments and long-term follow-up.

Unlocking the Power of Real-World Evidence for Success in Europe’s Evolving HTA and Regulatory Landscape

Our speakers will discuss overcoming data collection challenges, particularly in oncology, and share innovative approaches to utilizing RWE for HTA submissions and external control arms. You’ll gain practical insights into ensuring data quality, privacy, and regulatory compliance across Europe, as well as how advanced analytics can turn data into actionable evidence that drives success in today’s dynamic environment.

Making an Impact: Publishing with TriNetX Real-World Data

Join industry-leading experts as they delve into the latest real-world data (RWD) and real-world evidence (RWE) use cases, highlighting groundbreaking research and publications. Discover the growing impact of real-world data in healthcare research and how to effectively utilize the TriNetX LIVE™ to drive impactful research and publish cutting-edge studies. Gain valuable insights from global thought leaders and enhance your understanding of how RWD is transforming clinical research and healthcare outcomes.

Closing the gaps in multiple myeloma with Data and AI. Three speakers listed (Michael Sankey, Databricks; Jeffrey Graham, TriNetX; Luis Arthur Pelloso, MD, PhD, PPD) November 14, 2023 at 11:30 am ET

Optimize AI’s Role in Supporting Clinical Research

While artificial intelligence (AI) brings significant advancements to clinical trials—including patient recruitment, data analysis, and real-time monitoring—it is not a panacea for the complexities of clinical development. This includes slow enrollment: Roughly 80% of studies do not meet their initial enrollment expectations. These challenges are particularly pronounced among rare disease protocols as well as populations prone to care transitions.

Diversity in Clinical Trials: Using Real-World Data to Improve Trial Design and Advance Health Equity and Robust Evidence Generation​

Featuring guest speakers from Sanofi and Clinical Trials Transformation Initiative, this webinar concluded with a dynamic 15-minute panel discussion moderated by Dr. Jeffery Brown, allowing attendees to engage with the speakers and delve deeper into the presented topics of: real-time access to diverse patient populations, advanced analytics and insights, and secure and compliant data sharing. 

Solutions to Amplify Your Clinical Real-World Data Research

Enrich your data and expand your research opportunities as part of a global community advancing safer and more effective therapies for better patient care. Join us as we examine how rich and timely clinical data, unified in a research-ready environment, can provide clinical researchers with the best opportunity to accelerate published research and advance outcomes.

Closing the gaps in multiple myeloma with Data and AI. Three speakers listed (Michael Sankey, Databricks; Jeffrey Graham, TriNetX; Luis Arthur Pelloso, MD, PhD, PPD) November 14, 2023 at 11:30 am ET

Closing the Gaps in Multiple Myeloma with Data and AI

Join real-world experts at TriNetX and Databricks as we examine how rich and timely clinical data, unified in a research-ready environment, can provide clinical researchers with the best opportunity to accelerate time-to-insight and influence outcomes.

Going Beyond the Limits of Legacy Pharmacovigilance with Real-World Data

The revolution in drug safety data is underway. The advent of RWD, together with technologies to aggregate, standardize, and analyze it, have turned Pharmacovigilance (PV) specialists into evidence generation leaders.

From Detection to Action: Applying Your Model to Real World Data from TriNetX

From simple scoring formulas to machine-learning-trained regression models, TriNetX data can help detect patients who may benefit from close monitoring or who might qualify for a clinical trial. See the solutions we’ve developed to help researchers move from “detection to action” more efficiently over our global research networks.

Improving Access to Clinical Trials for Underrepresented Patient Populations Using Real-World Data and TriNetX’s Diversity Lens

Evaluate the impact of eligibility criteria on your trial’s enrollment of underrepresented patient populations. With these results, study teams can better adjust criteria and seek out partner organizations caring for the patients who qualify for their study.

Publishing with TriNetX: Guidelines, Best Practices, and a Real-World Example

Spend time with two experienced members of the TriNetX team and a recent author from Penn State College of Medicine to learn how to maximize your chances for successful publication at every step along the journey, from query design to corresponding with journal editors.

Tokenizing and integrating patient data

Revealing the Patient Journey with Linked Claims and EHR

When it comes to patient journeys, EHR and claims each tell only half the story. Make sure you draw your insights from data that integrates the richest versions of each.

Introducing the Japan Claims Network

Trials that include patients in Japan have an advantage when it comes to regulatory approval in that country. But approval requires promising results from a well-executed study. Start the process the right way by understanding Japan’s patient population, designing a feasible study, and selecting the right trial sites.