Turn Real-World Data Complexity Into Clarity With AI

Real-world data (RWD) plays a crucial role in clinical research and decision-making, yet navigating its complexity remains a significant challenge. RWD typically comes from claims—open or closed—or from electronic health records (EHRs). When structured, these datasets are encoded using medical standards such as ICD, CPT, LOINC, RxNorm, and SNOMED. Mastering these coding systems is as demanding as learning a new language, requiring continuous effort to stay current as codes evolve and expand.

Artificial intelligence offers a powerful solution to this challenge. Much like a translation app on your phone, AI can interpret queries written in familiar, everyday language and seamlessly convert them into the precise coding and syntax required to interrogate RWD. This breakthrough reduces barriers to access, accelerates insights, and empowers researchers and clinicians to focus on discovery rather than coding complexity. 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

Sponsored content for TriNetX by studioID