The AI Academy Repository 

With the growing adoption of AI across the life sciences, Medical Information (MI) teams are uniquely positioned to benefit from its capabilities, when applied with care and understanding. As AI becomes integral to MI operations, understanding its core principles is critical for strategic and compliant implementation. This cheat sheet equips MI teams with a concise overview of AI fundamentals, ensuring readiness to harness innovation responsibly.

Building capabilities in MI and responsible AI is essential to keep high quality service to HCPs and patients. This framework, co-created by leading industry associations MILE, phactMI, PIPA and technology expert AVAYL, serves as a starting point for MI leaders to navigate quality risks and regulatory considerations with AI tools.

Supporting resources for the AI Academy Webinar. 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.

Systematic Literature Search revisited: a refresher on best practices, as well as limitations and suitability of different AI tools for each step of the process. Enables you to confidently use of AI in your next literature search. 

AI systems vary in scope, capability, and level of human oversight. Some can fully automate tasks like literature retrieval or draft content generation, while others provide guidance or assistance to hu-man authors.

Without clear disclaimers, users including HCPs, internal stakeholders, and patients, may misunderstand the level of human oversight and scientific validation of the content received. See this example on how AI disclaimer and documentation can be approached. 

In the future, Medical Information teams will need to be proficient in both traditional medical capabilities and the effective use of AI tools. This dual skill set ensures that professionals can leverage AI to improve efficiency while maintaining the highest scientific standards. As AI becomes more integrated into daily operations, the ability to discern credible sources, critically evaluate evidence, and generate unbiased scientific content will become even more central to Medical Information work.

Recommendations and best practices to achieve consistently reliable translation quality with AI systems in Medical Affairs

Ever wondered what an AI audit looks like from the inside?  Katarzyna Dabrowska will share firsthand insights from Pfizer's recent experience being audited on an AI tool in our live AI Academy webinar.  She'll walk through lessons learned, what her team is changing going forward, and what she'd tell others to stay audit ready. Stefne Pienaar (President, MILE) and Miena Amiri (CEO, AVAYL) will add how teams can approach audit readiness for AI systems from a guideline and a technology perspective.

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.