AI tools are increasingly used to extract clinical data from scientific literature, but the outputs often require additional formatting and cleanup before they’re usable in regulatory documents. In this interactive Solution Circle, you’ll learn how to write smarter prompts that help AI return cleaner, more structured results, from a single article to many.
We’ll focus on practical techniques to reduce post-processing time, using examples commonly encountered in medical device clinical evaluation reports and similar regulatory writing workflows. You’ll walk away with reusable prompt templates and a deeper understanding of how to guide AI to work better for you.
Learning Objectives:
Refine AI prompts to extract only the essential data from scientific literature—without extra text or explanation.
Use formatting constraints and labels in prompts to get consistent, structured answers that are ready for use.
Build prompt templates for commonly extracted data points, such as patient demographics, study outcomes, and safety metrics.
Apply and adapt prompt templates across multiple articles to improve speed and consistency in data extraction.
