Handling a medical inquiry efficiently while maintaining scientific rigor is at the heart of Medical Information (MI) work. In this hands-on tutorial, see how this looks like when AI is integrated into the whole workflow. Claudia Guenoden from Chiesi and PIPA will walk through how they manage an inquiry from start to finish using AI.

Prompting is a foundational skill for Medical Information (MI) professionals who want to use AI effectively, responsibly, and at scale. But how do you move beyond basic experimentation to outputs that are reliable, transparent, and fit for MI standards? In this hands-on tutorial, Prompting 101 for Medical Information, we cover the essentials of machine learning and large language models and show how AI can be applied across MI workflows: from automating repetitive tasks and medical writing to insight generation and knowledge sharing. You’ll learn how to design step-wise prompts that improve accuracy, transparency, and control. We’ll also address critical limitations such as hallucinations and black-box behavior, and why heightened caution and human oversight are essential in MI. Throughout the session, we emphasize one core principle: AI augments experts, it does not replace them. Participants will leave with a practical prompt guide tailored specifically for Medical Information.

AI opens new opportunities but also raises important questions about responsible copyright handling in Medical Information. We will outline the current state, discuss future perspectives, and share a case study.

Explore how AI is changing the game in literature screening, study classification, and evidence synthesis. We’ll examine what’s possible today, what still needs human oversight, and how to integrate AI into systematic processes without compromising quality.