Patients searching for clinical trials are often met with dense, technical language designed for scientific audiences, not for people trying to decide whether a study is right for them. AI has the potential to bridge this gap, but only when it is guided effectively.
In this webinar, you’ll learn how thoughtful prompt design can transform complex trial listings into clear, patient-centered summaries. We’ll share practical examples and lessons from refining prompts across multiple studies.
During this session, we’ll cover:
- How AI can “translate” technical clinical trial content into plain language
- How to design prompts that clearly describe the study participant experience
- How to balance simplicity with accuracy and completeness
- How to improve consistency and reduce variability in outputs
For study sponsors, clinical research professionals, and patient advocacy groups, this session offers practical ways to improve how trial information is communicated.
Speaker
Sarah Hsu
In her role at TrialX, Sarah acts as a consultant to the day-to-day teams, offering strategic input based on her expertise and ongoing industry research and insights. Sarah began her career as a healthcare journalist at The Wall Street Journal, writing about patients’ experiences navigating the healthcare system. After earning her MBA, she joined Pfizer, where she spent 13 years working across oncology and rare disease marketing, patient support, and clinical trial education and recruitment. She is especially passionate about making clinical research information more accessible to patients.
Moderator
Shweta Mishra
Shweta is the Marketing and Communications Lead at TrialX/Applied Informatics, with over 10 years of experience in the clinical trials industry. A clinical trials enthusiast, she holds dual master’s degrees in Biochemistry and Nutrition Science from San Jose State University and certifications in marketing, research ethics, and biotechnology IP. She also hosts TrialX CureTalks on various issues, including women’s health and reproductive medicine.
